Author: augmented_admin

The financial state of your enterprise gives you a bird’s-eye view of all of its operations. 

If the bottom line is trending upwards, the ship is steady; if it is trending down, you might have to turn it around. But even financial data can be misleading if you are only looking at things from one perspective.

 

That is where Power BI Financial Dashboards come in! They can help you translate complex financial data into easily understandable charts and graphs. 

So, you get a solid, data-backed basis for tracking performance, managing risks, and making decisions.

But here’s the challenge: not all dashboards are the same! Some provide great analysis, while others just look good on the screen.

So, how do you know which Power BI dashboard actually makes a difference? Which one offers real insights and not just complex visuals?

Don’t worry! I’ve done the research for you. I’ve tested several dashboards and finally shortlisted the 9 best ones.

Let me walk you through them so that you can select the one that suits your needs the best!

Examples of Power BI Dashboards: Table of Contents

• Why Do You Need a Power BI Finance Dashboard?
• Top 9 Power BI Finance Dashboards in 2025 
• What Makes a Great Power BI Finance Dashboard?
• Make Power Moves in Finance with Power BI + Augmented Systems

Why Do You Need a Power BI Finance Dashboard?

While spreadsheets are more commonly used for creating financial dashboards, they are more useful for measuring long-term results, not making quick changes!

A Power BI finance dashboard solves this problem by unifying your financial data and tracking it in real-time. Here’s how it provides a critical advantage:

• Consolidated Financial View: A Power BI finance dashboard connects all your data sources into a single, trusted source of truth for a complete picture.
  
• Real-Time Performance Monitoring: You get live updates on cash flow, revenue, and expenses to make timely, informed decisions.
  
• Interactive Expense Analysis: You can easily drill down into spending data to instantly understand the “why” behind budget variances.
  
• Customized Reporting: Power BI can help you build reporting dashboards that highlight the specific KPIs and metrics that matter to your role (executive, revenue manager, etc..
  
• Proactive Forecasting: Advanced, interactive dashboards are very good at modeling future scenarios and trends. This can help you anticipate opportunities and mitigate financial risks.
  
• Streamlined Reporting: You can generate and share interactive reports with stakeholders in just a few clicks, saving valuable time.
  
• Enhanced Data Accessibility: Make complex financial data intuitive and understandable for technical and non-technical users alike.
  
• Improved Cash Flow Management: Finance dashboards also help you accurately track receivables and payables to optimize working capital and maintain stability.

By moving beyond static spreadsheets, you empower your team to not just report on the past but actively shape your financial future. Now, let’s explore the specific types of dashboards that deliver these results.

Pro Tip: If you are unsure how to use these tools, you can connect with our expert data visualization consultants. They will guide you in setting up these dashboards according to your requirements.

Top 9 Power BI Finance Dashboards for Data-Driven Decisions

Generic dashboards can display data (even in real-time), the right custom-built dashboard turns your financial data into a truly strategic asset – an asset that actually helps you make decisions. 

At Augmented Tech Labs, we design these solutions to solve specific business challenges. Here are the 9 most impactful types of Power BI dashboards we build for our clients.

1. Executive Financial Dashboard

Ideal For: C-suite executives and financial leadership requiring a unified view of performance.

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The Executive Financial Dashboard delivers a high-level snapshot of an enterprise’s financial health. 

However, the main advantage is that it helps CFOs and business leaders gain key insights without having to sift through complex reports.

Key Business Outcomes You Can Expect

• Monitor real-time KPIs like cash flow, revenue growth, and profit margins in one place.
• Identify positive or negative trends early to make proactive decisions.
• Improve board and stakeholder reporting with vibrant visual summaries.

2. Profit and Loss Dashboard

Ideal For: Financial controllers and department heads managing P&L responsibility.

 

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The Profit and Loss Dashboard provides a granular analysis of revenue, costs, and profitability across business segments. 

These dashboards transform your income statement into an interactive tool for strategic decision-making.

Key Business Outcomes You Can Expect

• Pinpoint the most and least profitable products, services, or departments (with dynamic filtering).
• Break down the relationship between rising revenue and declining net profit through comparative period analysis.
• Use intuitive Power BI financial reporting to help non-technical stakeholders answer specific questions.

3. Cash Flow Analysis Dashboard

Ideal For: Treasury managers and CFOs focused on financial stability and operational continuity.

 

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This dashboard offers a real-time view of cash movements, helping you prevent shortfalls and optimize working capital. 

It’s one of the most critical examples of Power BI dashboards that actually helps you anticipate challenges like insolvencies.

Key Business Outcomes You Can Expect

• Forecast your cash runway and predict potential shortages before they become critical.
• Track the cash conversion cycle to identify operational inefficiencies impacting liquidity.
• Manage outstanding invoices and payments proactively to maintain healthy cash flow.

4. Budget vs. Actual Dashboard

Ideal For: FP&A teams and budget managers responsible for fiscal discipline.

 

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The Budget vs. Actual dashboard is a dynamic dashboard that tracks planned budgets against real-time expenditure. 

With it, you can truly move beyond static spreadsheets: you will always have real-time information on whether or not you are overshooting your actual budget. 

This makes Budget vs. Actual a foundational Power BI finance dashboard for cost control.

Key Business Outcomes You Can Expect

• Instantly identify departments or projects that are over or under budget with clear variance alerts.
• Analyze historical spending patterns to create more accurate and defensible future budgets.
• Provide department heads with self-serve access to spending data (while also reducing administrative queries).

5. Accounts Payable and Receivables Dashboard

Ideal For: Accounting managers and controllers overseeing the order-to-cash and procure-to-pay cycles.

 

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This dashboard acts as a central reporting hub, based on which you can manage working capital by tracking what you owe and what you’re owed. 

It turns accounts information into actionable insights for the entire finance team.

Key Business Outcomes You Can Expect

• Reduce Days Sales Outstanding (DSO) by quickly identifying and acting on overdue payments.
• Strengthen vendor relationships and avoid late fees by continuously tracking accounts payable.
• A data visualization consultant can integrate this with your ERP to provide live, automated ageing reports.

6. Financial Forecasting Dashboard

Ideal For: FP&A analysts and strategic planners shaping the company’s future.

 

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This forward-looking Power BI finance dashboard uses historical data and trend analysis to model future performance, moving your team from reactive reporting to proactive planning.

Let me show you what it can do for your operations:

Key Business Outcomes You Can Expect

• You will be able to model different business scenarios (e.g., market expansion, cost-cutting) to see their financial impact.
• Project future revenue and expenses to guide strategic investment and hiring decisions with confidence.
• Create compelling Power BI report examples for stakeholders that illustrate future pathways and their drivers.

7. Investment Portfolio Dashboard

Ideal For: Treasurers and corporate investment officers managing company assets.

 

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This dashboard is designed to help you monitor the performance and risk of your corporate investments in real-time. 

It consolidates different data streams from a diverse range of sources to provide a unified view of your portfolio’s health.

Key Business Outcomes You Can Expect

• Track asset performance and returns against relevant market benchmarks.
• Identify risk exposure to ensure a balanced and aligned investment strategy.
• Monitor dividend and interest earnings for accurate corporate cash flow forecasting.

8. Risk and Compliance Dashboard

Ideal For: Chief Risk Officers, compliance teams, and internal auditors.

Proactively safeguard your organization by monitoring financial risk, fraud indicators, and regulatory adherence. 

This dashboard turns compliance from a checklist into a strategic advantage.

Key Business Outcomes You Can Expect

• Automate the detection of anomalous transactions and patterns that could indicate fraud.
• Maintain a clear, visual audit trail and monitor adherence to internal and external regulations.
• Quantify operational risks with a scoring system to prioritize mitigation efforts effectively.

9. AI-Driven Financial Insights Dashboard

Ideal For: Forward-thinking finance teams looking to leverage predictive and prescriptive analytics.

This advanced dashboard goes beyond traditional Power BI financial reporting by using machine learning to uncover hidden patterns and predict future outcomes.

Key Business Outcomes You Can Expect

• Receive AI-powered forecasts for revenue and demand, along with data-driven cost-saving recommendations.
• Automatically detect subtle anomalies in expenses or revenue that signify error or opportunity.

You can also partner with a data visualization consultant to implement custom AI models that address your unique business challenges. 

This is the solution that we recommend: it will put you in charge of deciding what information and visualizations you want to include in your dashboard.

What Makes a Great Power BI Finance Dashboard?

Now that we’ve seen some great Power BI dashboard examples for your financial data, let’s talk about what makes a Power BI dashboard great. 

To be honest, a great Power BI dashboard is all about smart data visualization. While data visualization in the finance industry can be complex, Power BI makes it simple and effortless.

 

Remember that a well-designed dashboard should run on autopilot. It should give you clear insights without you wasting your time digging into numbers or rows of spreadsheets. 

 

(If your dashboard feels messy or hard to use, you might need a data visualization consultant to fine-tune it!)

 

Here’s what makes a financial dashboard useful:

• It shows the right data to the right people. 
• It should be simple and clutter-free with basic layouts.
• Always up-to-date for you to make quick and informed decisions. 
• It should be fast and interactive for quick answers. 
• It must work on every device, be it a desktop or a mobile phone. 

If your dashboard doesn’t look like this or isn’t making things easier, then it’s time for a change. Only when a dashboard is designed correctly can it help you understand your numbers, track your performance, and make smart decisions.

Make Power Moves in Finance with Power BI + Augmented Systems

So far, we’ve explored the 9 best examples of Power BI financial reporting dashboards. Each of them is designed to help you simplify your financial data and reporting in its own unique way. 

While I hope this gave you a solid overview of the dashboards, the best way to see which dashboard is right for you is to try Power BI dashboards yourself!

 

Explore different dashboards, visualise different real-time financial data points, and see how they fit with your financial and business goals. 

And if you feel that you can benefit from expert assistance, I recommend you contact our data visualization consulting team. We are official partners with Power BI and offer great insights into Power BI reporting and data visualizations.

Good luck!

Examples of Power BI Dashboards: FAQs

1. What is a Power BI dashboard?

A Power BI dashboard is a data visualization tool that allows you to create interactive and customizable dashboards using your data from various data sources. It helps you convert your raw data into actionable visualizations. It helps consolidate multiple reports into a single view, which you can use to track important metrics, identify trends and patterns, and make informed decisions.

2. What is the purpose of a Power BI dashboard?

The primary goal of a Power BI dashboard is to simplify your complex data and make it easier to analyze. It allows you to monitor your business performance and metrics so that you can make quick business decisions.

3. Is Power BI Free to use?

Yes. Power BI offers a free version with basic features. For advanced capabilities, such as collaborations and data sharing, you can subscribe to their premium version. 

4. What is the difference between Power BI reports and dashboards?

A Power BI report is a detailed, multi-page document that gives you in-depth information on your data with multiple visualizations. A Power BI dashboard is a single-page overview that combines all the key information from different reports. It’s similar to a high-level summarization of all your key data for quick decision-making.

 

Unless you have a crystal ball, choosing from one of many Looker Studio Dashboards can be a little tricky!

Each dashboard serves a different purpose. 

There’s one for marketing, one for sales, and a bunch more for several other metrics.

So,  the difference? Which one should you choose? Can you just drag and drop some visuals with data in any dashboard on the market?

I get it, there is a lot to figure out. But the good thing is that you don’t have to do it alone! Plus, you don’t even have to be a data expert to figure them out!

All you need to know is which dashboard works best for what metric, and you are good to go! 

Luckily, I’ve sorted that out for you in this blog. So, let’s go through the top 6 and most important Looker Studio examples you might need for your business. 

Let’s dive in!

Looker Studio Dashboards: Table of Contents

• What is Looker Studio?
• What Are Looker Studio Dashboards?
• Top 6 Looker Studio Dashboards You Should Try in 2025
• What Makes a Great Looker Studio Dashboard?
• You’re Ready to Master Data Storytelling with Looker Studio + Augmented

What is Google’s Looker Studio?

Who doesn’t know Google? It’s everywhere!

From navigating the maps to searching the web and running ads, to analyzing traffic, Google has a tool for everything!

And when it comes to data. Google is there as well! Looker Studio, or Google Looker Studio, was formerly known as Google Data Studio. It helps you turn your raw data into easy-to-understand reports.

So, before I start talking about its dashboard, let’s take a quick look at what it is and why it’s worth your time.

What does Looker Studio do?

You have data spread across different platforms in different forms.

• Sales trends
• Customer behavior
• Marketing performance and campaign results
• Google Analytics
• Facebook Ads. 

These are just a few of many, isn’t it?

Now imagine manually pulling these numbers, arranging them on separate spreadsheets, and then making sense of it all.

A nightmare!!

Looker Studio fixes that! This user-friendly platform pulls all your data across platforms into one place and turns them into interactive and visually appealing reports and dashboards.

It’s like Power BI and Tableau, but simple and FREE!

Why Should You Consider Using Google Looker Studio? 

In our experience, there are many compelling reasons why you should use Looker Studio, including:

• Looker Studio is free to use
• Works seamlessly with Google, such as Google Ads, Google Analytics, etc. 
• Easy to connect with 1000+ data sources
• Looker Studio visualizations are easy to design 
• The dashboard is easy to use, sort, and explore
• Save you hours of manual work 

If you don’t want to be stuck between the walls of your spreadsheets and need a way to understand how all your business metrics impact your business, Looker Studio is what you should be looking at.

Fun Fact: Google officially rebranded the platform, Google Data Studio to Looker Studio in October 2022. It now offers better data handling, a premium version for bigger teams, and LookML, a new modeling method for advanced users. 

What Are Looker Studio Dashboards?

Looker Studio dashboards are interactive reports that use all your raw data from multiple source points and convert them into easy-to-understand visuals.

Looker Studio visualizations help you monitor, analyze, and represent your data effectively using charts and graphs that are pleasing to the eye.

Whether you are a small business or an enterprise, these dashboards can be a game-changer for you. 

How Can Looker Dashboards Transform Your Business?

 

• Offers real-time data monitoring
• Provides a clear view of key performance indicators (KPIs)
• Helps you refine your business strategies 
• Reduces manual reporting, thus saving you time and other resources
• Let’s you seamlessly collaborate with your teams and clients

Now that you are familiar with the basics of Looker Studio, let’s explore how you can get the most out of this platform with some important dashboard and Looker Studio examples.

Top 6 Looker Studio Dashboards You Should Try in 2025

The dashboard of Looker Studio comes in various types, each designed to serve different business needs and requirements.

It’s up to you how you customize and use this one of many data visualization tools, to create reports that add value to your business data.

In this blog, I’m covering only the top 6 that stood out to me. If you are interested in exploring more, I’d suggest you try a few dashboards for yourself.

Okay, so here are 6 dashboards that really caught my attention!

1. Sales and Revenue Dashboard

It is quite common that business owners struggle to pinpoint where their sales are thriving and where they’re falling short. The numbers would not just make sense, and on top of that, you might not even know the answers to why and how!

With a sales and revenue dashboard, you do just that! Using it, you can now understand and get real snapshots of your sales (and financial) health. 

This dashboard lets you bring your data from different platforms, like CRM, eCommerce and other sales channels. So that you can get a clear picture of your revenue streams and sales performance. 

What Metrics Can You Track Using a Sales and Revenue Dashboard?

 

• Monthly, quarterly, and annual revenue trends
• Sales conversion rates
• Customer acquisition cost (CAC)
• Lifetime Value (LTV)
• Top-performing products and services
• Sales team performance

So, if you are looking to adjust your pricing strategies, fine-tune your sales efforts and focus on services or products that need urgent attention, this dashboard is for you. 

2. Marketing Performance Dashboard

Isn’t it true that many times, marketing campaigns leave you wondering if they are actually driving results?

Lack of clear goals and KPIs. 

Challenging market trends and customer behavior. 

Overloaded data and zero insights.

And so many other factors complicating the process!

With a marketing performance dashboard, you won’t have to juggle between platforms to see what’s working and what’s not.

It combines everything, including Google Ads, Google Analytics, LinkedIn Ads, and more, in one place, giving you a holistic (360-degree) view of all your marketing campaigns. 

What Metrics Can You Track Using a Marketing Dashboard?

• Website Traffic
• User behavior
• Conversion rates
• Cost per acquisition (CPA)
• Social media engagement
• Ad performance and ROAS (return on ad spend)
• Email marketing success rates

So, whether you want to track the latest trends, make the most of your spending, refine your content or reach the right audience, this dashboard makes it easy with insights backed by solid data. 

3. Customer Behaviour Dashboard

Let’s assume you have an online store. 100s of customers visit your website every day and click on your products, but hardly a few complete a purchase.

What do you think is going on? Are they stuck at the checkout? Or maybe the visuals are a bit off, and users are being turned away because of them?

Well, a customer behavior dashboard helps you find all these answers without leaving you guessing. 

The dashboard gathers data from different tools and platforms to show you how exactly your visitors interact with your website.

It also tells you when and where your visitors are dropping off, and what keeps them on your website longer. 

What Metrics Can You Track Using a Customer Behavior Dashboard?

 

• User navigation pattern and journey
• Session duration 
• Engagement levels
• Conversion funnels 
• Drop-off points
• Bounce rates
• Exit pages
• Customer feedback 
• Sentiment analysis

Using this dashboard, you can fix all key marketing performance issues and address all customer engagement challenges while making smarter decisions along the way. The platform also helps you create a smoother journey for your customers by providing real-time data.  

If you think this dashboard is helpful, you can explore some Looker Studio examples to visualize key metrics and uncover actionable insights in an easy-to-understand format. 

4. Finance and Budget Dashboard

Let’s talk about the time you prepare for your quarterly reviews. Several times, sales look strong, but somehow, your profit doesn’t reflect it.

You know that your expenses have piled up, but you don’t have a clear breakdown, it’s hard to see where your money is leaking. You start wondering if your marketing costs are eating away all your profits. Or if payrolls are exceeding the projections.

A finance and budget dashboard gives you all the answers in real-time without the chaos of messy spreadsheets.

It integrates the data from all your tools, such as Excel, Xero, Quickbooks and more, into a dashboard with a clear view of your financial health. 

What Metrics Can You Track Using a Finance and Budget Dashboard?

 

• Total revenue
• Net profit margins
• Expense breakdown by departments 
• Cash flow trends 
• Cash flow forecasts
• Budget vs. actual spending
• Debt and liability tracking

With these insights, your finance teams can control costs, plan smarter, and ensure financial stability for your business.

5. Operational Efficiency Dashboard

If you’ve ever had orders coming in and employees busy fulfilling them, but deadlines are still slipping away, then this dashboard is for you!

The dashboard helps you identify where things are slowing down, whether it’s unexpected machine breakdowns or processes taking longer than they should.

Without clear data, it’s hard to pinpoint the real issue, but with this dashboard, you can find the bottlenecks and fix them.

Thus, an operational efficiency dashboard helps you find those issues and fix the inefficiencies fast with a real-time view of your operations. 

What Metrics Can You Track Using an Operational Efficiency Dashboard?

 

• Production cycle times
• Resource utilization
• Productivity of your employees
• Slowdowns in workflows 
• Supply chain performance 

So, if you are looking to streamline your business operations, reduce waste and improve the overall efficiency of your business, consider using this dashboard. 

6. Employee Productivity and HR Dashboard

How can you find out for sure that your team is as productive as it should be? Take a closer look at your data! It might reveal insights you hadn’t considered. Don’t get me wrong,  but sometimes the numbers tell a different story.

You notice that your employees are working late, projects are moving forward, and everyone seems busy. However, the other side of the story is a little different.

The deadlines are still slipping. Some teams are overwhelmed. Others have gaps in their workloads, and burnout is creeping in.

Without clear data, you don’t really know what’s working and what needs improvement.

With an employee productivity and HR dashboard, your HR and management teams can monitor productivity, identify workloads, and ensure that your employees are engaged and performing at their best. 

What Metrics Can You Track Using an Employee Productivity and HR Dashboard?

 

• Employee work hours
• Employee productivity trends
• Project completion rates
• Attendance and absenteeism
• Progress for training and skills development
• Employee engagement 
• Employee satisfaction scores 

Using this dashboard, you can manage your workloads better, help your teams work more efficiently and keep your employees motivated.

The Looker interactive dashboards distinguish themselves from other tools because of their ease of use and integration capabilities. Other complex business intelligence tools might require external expertise, but that’s not the case with Looker.

With that in mind, let’s see how you can create a unique dashboard for yourself in our next section.

What Makes a Great Looker Studio Dashboard?

As we just saw, not all dashboards are created equal. Every dashboard is unique. So, what makes a dashboard truly great? Which one should you definitely use or safely ignore?

Honestly, a great dashboard should strike the perfect balance between appealing visuals, engaging content, and clear and actionable data.

Here’s how you can make your Looker dashboard stand out:

• Use a simple layout with minimal distractions.
• Highlight the most critical KPIs.
• Choose the right mix of charts, graphs, and color schemes. 
• Make it interactive and dynamic using filters and drill-downs.
• Your dashboard should reflect the latest numbers in real-time. 
• It should be actionable and not just display numbers. 
• Every insight in your dashboard must lead to some action or strategy. 

Finally, a well-designed dashboard shouldn’t be just another data visualization tool. It shouldn’t just display numbers that are presented beautifully. It should help you and your users understand the data at a glance and take action instantly.

Pro Tip: If it’s not helping you take the desired action, then it’s time you should fix it!

Get Ready to Master Data Storytelling with Looker Studio + Augmented

Through our discussion, we’ve explored a wide variety of Looker Studio Dashboards designed to help you streamline your operations and make better decisions.

We’ve covered what they are, how they work, why they should matter to you and what makes a dashboard truly stand out.

At the end of the day, a great dashboard isn’t just about displaying numbers, it’s about providing meaning and clear insights. Moreover, great dashboards don’t happen by chance!

By sticking to the data visualization best practices and leveraging the right data visualization tools, you can keep your dashboards clear, interactive, and actually useful.

The best way to find what works for you? Keep experimenting. Play around and customize the dashboards to suit your needs. Explore different features and refine them as you go.

And if you need a hand, our team at Augmented Systems is here to help! We specialize in data visualization consulting and will help you customize your dashboards for the betterment of your business strategies.

Happy exploring!  

Looker Studio Dashboards: FAQs

1. Is Looker Studio hard to learn?

No. Looker Studio is a simple and user-friendly tool. Its drag-and-drop interface makes it easy for you to create different dashboards without actually coding. 

2. Is the Looker Studio Dashboard free?

Yes. Looker Studio (formerly known as Google Data Studio) is free to use. Moreover, it also offers paid subscription options with advanced features for larger businesses. 

3. How do I create a Looker Studio Dashboard?

You can create a Looker Studio Dashboard in a few simple steps:

• Start by connecting your data source. 
• Create a new report. 
• Add the visual elements that suit your data. 
• Customize the dashboard as per your needs. 
• Publish the report and share it with your teams or clients.

4. How to prepare data for Looker Studio?

Here’s how you can ensure that your data works well in Looker Studio:

 

• Clean your data to remove duplicate files.
• Organize your data properly. 
• Use calculated fields. 
• Organize large sets of data.
• Connect dynamic data sources for real-time updates.

In today’s world, data is digital gold. 

Whether you’re a nurturing startup founder or planning to scale your enterprise, effective data management is crucial for your business.

So, once you’ve got your data stacking up, the only thing you need is the right business intelligence tool to make sense of your data and turn it into actionable insights.

And here’s when things become tricky: there are several best business intelligence tools, and you want to choose nothing but the best!

Therefore, to help you make the right choice, I’m going to take a detailed look at the debate between these two data analytical tools: Qlik vs Tableau.

Let’s get into it.

Qlik vs Tableau: Table of Contents

• Qlik vs Tableau: Which is a Better Business Intelligence Tool for 2025?
• TLDR: Who’s the Best? Qlik or Tableau
• What is Qlik?
• What is Tableau?
• Qlik vs Tableau: Similarities and Differences
• Qlik vs Tableau: Who Wins?

In a Hurry? See Who Wins: Qlik or Tableau

If you’re short on time, here’s a quick comparison between Qlik and Tableau, two of the top BI tools. Plus, see how we at Augmented Systems combine both to deliver the best data visualization services. 

TLDR: Which is the Best? 

Qlik: Powerful associative analytics, great for data exploration, but can have a steeper learning curve.

Tableau: User-friendly dashboard and offers intuitive visualizations, but works better with structured data. 

Augmented combines and uses both data visualization tools to deliver high-quality, scalable, and customized business solutions.

Here’s a comparison breakdown:

Since Qlik and Tableau both have strengths and limitations, why not combine them to get the best of both worlds?

With Augmented, you can have:

 

• Qlik’s powerful data exploration and Tableau’s intuitive dashboard 
• Custom solutions to fit your business or project needs
• Expert support for smooth adoption and integration

So, you don’t have to choose between the two, rather have all the features of all the best business intelligence tools under a single umbrella. 

What is Qlik? 

Qlik is a powerful business intelligence (BI) and data visualization tool that helps you make sense of your data.

What do I mean by that?

Qlik helps you use your data to solve problems, meet new business objectives and address critical business needs.

However, with so many BI tools in the market, you must be wondering:

What Makes Qlik Stand Out?

Qlik’s associative data indexing engine features let you explore your data freely without needing to stick to predefined queries.

In simple terms, it links your different data sets in a unique manner that makes it easier for you to explore connections, trends and patterns between different pieces of information.

For example, let’s assume you are analyzing sales data. If you were using a traditional BI tool, you might run separate queries for “Sales for Region” or “Sales for Product.”

With Qlik, you can click through different data points without needing a predefined query! For example, you can see how a sudden rise in sales in one region is connected to a specific product launch. 

Key Qlik Features + Pros and Cons You Should Know in 2025

At first glance, Qlik might seem like just another BI tool. But once you start using it, you’ll notice how its unique approach to data exploration and AI-powered insights makes it one of the best business intelligence tools!

Now, let’s break down Qlik’s features, pros, and cons to see what sets it apart. 

Qlik Features:

• Associative Data Modeling: Allows you to explore data freely. 
• Self-Service Analysis: No-code model allows you to create dashboards and reports without relying on IT teams. 
• AI-Powered Insights: It uses AI to highlight trends and anomalies. 
• Built-in Data Preparation: Cleans and prepares the data within the platform, you don’t have to work with multiple tools.
• Easy Integration: You can easily integrate with different business platforms, like cloud, on-premise databases and even third-party apps. 
• ETL (Extract, Transform, Load) Capabilities: Allowing you to clean, transform, and manipulate data before analysis. 
• Scalability: You can handle billions of your records, no matter the size of your business or data. 

Pros of Qlik:

• An interactive dashboard that allows flexible data exploration
• Easy-to-understand dashboard with powerful search tools
• Scales well for large businesses with big data
• AI-powered insights for faster decision-making
• Built-in tools for data preparation and cleaning
• Strong data security and governance features

Cons of Qlik:

• Complex for beginners or new users (learning curve)
• Higher pricing, making it not suitable for all business sizes
• Requires scripting knowledge for advanced analytics

If you ask me, Qlik is a fantastic tool if you need deep data exploration, scalability and AI-powered insights. While it may take some time to master it, the benefits are worth the time. (Especially if you are dealing with complex and big data!)

Next, let’s explore everything Tableau has to offer for us. 

What is Tableau?

Tableau is one of the leading data visualization and analytics platforms. It is known for its user-friendly interface and beautiful interactive dashboards.

Just like any other data visualization tool, it helps you turn your raw data into actionable and meaningful insights. And the best part? You don’t even need technical expertise to use its functions!

Key Tableau Features + Pros and Cons You Should Know in 2025

Tableau offers us a range of data analytical tools to help visualize business trends. Let’s explore some of its most useful features, along with its pros and cons. 

Tableau Features:

• Drag and Drop: Unlike Qlik, which requires scripting for complex queries, here you can create beautiful dashboards and reports.
  
• Data Visualizations: Built for storytelling, you can use its variety of charts, maps and graphs to showcase your data in the most engaging manner. 
  
• Flexible Data Connections: You can connect your data from live sources, like cloud services, in real-time. Plus, it lets you optimize for speed whenever needed. 
  
• Data Blending: If you want to combine data from different sources, Tableau is the answer. You can easily merge different data points for a complete and clear picture of your business. 
  
• AI-Powered Insights: Using its Explain Data features, you can easily understand what’s happening with your data. Tableau automatically detects and highlights trends and anomalies for you. 
  
• Embedded Analytics: You integrate its dashboards directly into your websites and apps. 

Tableau Pros:

• Built for the best visualizations
• Connects seamlessly with multiple data touchpoints
• Handles large datasets quickly 
• Intuitive drag-and-drop feature for non-technical users
• Strong community support
• Offers regular updates

Tableau Cons:

• Limited data transformation tools compared to Qlik
• It can be expensive for some businesses 
• Requires powerful hardware for large datasets

That said, Qlik and Tableau both bring dynamic features to the table. And each tool shines in its own way! 

Since both Qlik and Tableau have their own strengths and use cases, deciding between them isn’t always easy. To make your choice simpler, I’ve put them both in a clear, side-by-side business intelligence software comparison.

Let’s check it out and see how they measure up! 

Qlik vs. Tableau: Similarities and Differences

Before we check out their differences, let’s look at what these two tools have in common. Both are the best business intelligence tools in the visualization space and share several key features:

Here’s what they have in common:

With these similarities, you can leverage the tools for strong visualization and BI capabilities.

Okay, so now that we’ve seen how Qlik and Tableau are similar, let’s explore what sets them apart.

Here’s how they differ:

After this in-depth business intelligence software comparison, it’s clear that both Qlik and Tableau are suitable for different use cases.

Qlik vs Tableau: Who Wins?

Honestly, there is no right or wrong answer for which tool wins this battle, as it purely depends on your requirements. 

But at the end of the day, they are not the only business intelligence or data visualization tools.

There are many great providers out there! And the right choice depends on what works best for you!

At Augmented Systems, our mission is to help you make the most of both Qlik and Tableau to the fullest!

Our experts have tackled complex business data challenges to provide comprehensive solutions by combining the best features of the best data visualization tools.

As a result, our clients have seen a 55% reduction in data analysis time and a 68% boost in their overall productivity!

So, if you want to strengthen the way you work with your data and extract actionable insights from it, reach out to our best consultants for data visualization.

Connect with us for a commitment-free consultation and start your journey towards seamless data visualization! 

Qlik vs Tableau: FAQs

1. Why is business intelligence useful?

Business intelligence tools help you make data-driven decisions, improve business efficiency, and uncover hidden trends and patterns in your data. 

We use top BI tools, like Qlik, Tableau and Power BI to transform your unorganized data into meaningful insights. 

2. How does Tableau help businesses?

Tableau helps you make your data simple and visually appealing. You can use its interactive dashboards and easy-to-use interface to do so. 

3. Is Qlik free or paid?

Qlik offers both free and paid versions. The free version offers limited features, while the paid version requires a subscription. Their standard plan starts at $825/month (billed annually), which includes 25 GB of storage and access for 20 full users. 

4. Does Tableau require coding?

NO. For most tasks, Tableau does not require coding. And if there’s any task that does need coding, our data visualization experts are well-versed in programming languages like SQL, Python, and more. 

5. Is Tableau difficult to learn?

Tableau is user-friendly. Thanks to its intuitive design and user-friendly tools. With our veteran experts, you can quickly learn how to use Tableau effectively

Why do some teams make fast, confident decisions while others scramble with last-minute spreadsheets?

In my experience, it’s not about having more data but having the right view of it.

If you want to make smarter decisions with the data you’re collecting, you need to know how to combine your data into one unified view.

One thing I’ve personally learned the hard way is that not every dashboard that looks pretty is actually useful.

Sure, Tableau is one of the most powerful data visualization tools out there, but here’s the deal: 

“If you’re creating a dashboard just for the sake of visuals, you might not be able to make better decisions!”

So, what makes a difference? What helps you gain actionable insights? Dashboard visualizations that are:

• Clear and concise
• Connected and shareable
• Customizable to your requirements

Dashboards that actually offer a unified data view for your business needs.

So, if your current dashboards don’t offer easy access, lack context or integrity, or complicate your decision-making rather than supporting it, then you’ve come to the right place!

In this blog, I’ll walk you through 7 of the best Tableau dashboard examples, which are designed to help your team make the best decisions and collate your data in one place. 

You’ll also see how data visualization in Tableau can simplify complexities, bring teams together, and support faster, smarter choices.

Let’s get started!

Tableau Dashboard Examples: Table of Contents 

• Why Should You Use a Unified Data View for Your Business?
• Top 7 Tableau Dashboard Examples You Should Know for a Unified Data View
• See the Bigger Picture with Augmented
• Tableau Dashboard Examples: FAQs

Why Should You Use a Unified Data View for Your Business?

Before we explore the best tableau dashboard examples, let’s take a look at what a unified data view actually means and why it matters now more than ever (especially in 2025).

Let’s say you are collecting data from your sales operations, marketing platforms, websites, support tickets, finance reports, and more. After all, data is the lifeblood of your organization!

The problem?

Each of your teams is looking at the data in separate tools, spreadsheets, and departments. That means you, your team, and your business are basically stuck in data silos.

A unified data view is just the opposite of that! 

It brings together all your separate data streams from sales, marketing, finance, customer sources and more into ONE clean, interactive dashboard. That means you can actually see what’s going on without bouncing between tabs or chasing down reports.

Data visualization tools like Tableau help you turn your fragmented data into dashboards that are:

• Easy to understand
• Interactive
• Updated in real-time
• Designed for decision-making and not just reporting

For example, 

Say you’re a marketing lead preparing for a monthly review. With a unified dashboard in Tableau:

You won’t have to pull ad metrics from Google Analytics, lead counts from your CRM, and budget numbers from several different spreadsheets.

Instead, everything will appear on one dashboard. The data will be live, filterable, and ready for clear analysis.

So, what kind of dashboards can you prepare with Tableau? 

Let’s find out:

Top 7 Tableau Dashboard Examples You Should Know for a Unified Data View 

Not all dashboards that you’ll create in Tableau are going to be impactful. Some might just look good on your screen but fall flat when it’s time for you to make decisions.

So, if you want your dashboards to go beyond surface-level visuals, you need more than just charts and filters. 

You should have clarity, context, and connection.

To achieve this, a great dashboard should answer your questions before you even ask them, highlight what’s urgent, and guide you to the next steps.

To do so, I recommend starting with some Tableau dashboard best practices:

 

• Know your audience before you drag in any data
• Have a clear purpose for each of your dashboards
• Use visual hierarchy wisely to make important data pop
• Choose the right chart type
• Limit the use of filters and interactions
• Stay consistent with formatting, like uniform use of colors and fonts
• Test your dashboard before launching it

To be honest, the best dashboard should not just overwhelm you with data. Rather, it should guide your focus with smart layouts, colors, filters, and interactivity.

That’s the difference between just building a dashboard and mastering data visualization in Tableau!

With that in mind, let’s explore the 7 best Tableau dashboard examples that you and use to track performance, drive alignment, and uncover insights faster. 

1. Sales Performance Dashboard

 

Have you ever sat through a sales meeting where every report tells you a different story?

One report says revenue is up. Another shows missed targets. Someone else pulls a spreadsheet with last month’s data. And suddenly, no one in your team is sure what’s real. 

That’s a common headache when sales data is scattered across your tools, teams, and time zones. 

With Tableau’s sales performance dashboard, you won’t have to waste your time piecing it all together. You can get a clear, real-time view of your sales funnel, team performance and revenue trends in one single platform.

What Can You Do With Tableau’s Sales Performance Dashboard?

• Compare actual sales to target across time
• Filter by rep, product category, or region in seconds
• Spot gaps in the pipeline before they become a bigger problem
• Identify what’s driving wins and what’s slowing you down

Also, to uncover sales trends and patterns that aren’t obvious at first glance, you can use LOD expressions in Tableau. They will help you break down sales performance by customer segment, SKU, or even a specific time frame without disturbing your base dataset.  

2. Marketing KPI Dashboard

 

Let’s say you’ve launched a campaign. The ads are running, and the emails are scheduled. But when it’s time for you to report the performance, you’re stuck opening five different tabs.

One channel shows great reach but low clicks. Another has a decent conversion but high costs. And somewhere along the way, you lose sight of the bigger picture.

With a marketing KPI dashboard in Tableau, you won’t have to guess what’s working. It gives you clarity with a live, unified view of your entire marketing performance. In other words, you’ll be able to instantly see what’s working and what needs to be adjusted!

What Does a Tableau Marketing KPI Dashboard Track?

• Campaign reach and engagement
• Click-through and conversion rates
• Customer acquisition cost (CAC)
• ROI across platforms like Google Ads, Meta, email and more

So, if you want 100% visibility to act fast before the quarter flips away, then the marketing KPI dashboard is exactly what you need!

3. CFO Dashboard

 

Finance teams often get pulled in two directions.

First, they must be sure of the big picture, including the company’s financial health, profitability, and cash flow. Second, they must be prepared for any and all questions that come their way.

But when your data is disconnected between reports and spreadsheets, tracking all of it in real time becomes a struggle. You’re then left juggling files, double-checking numbers, and answering urgent “Can you send me the latest?” emails.

The CFO dashboard is built to take that pressure off. 

What Can You Monitor Using a CFO Dashboard in Tableau?

• Revenue and expense trends, side by side
• Real-time cash flow status
• Profit margins, forecasts, and financial risk indicators
• Balance sheet summaries with drill-down capabilities

The dashboard will help you integrate all your critical financial metrics into one streamlined view.

The best part? You won’t have to wait until the month-end close to understand where your numbers stand. From strategic planning to day-to-day reporting, all the critical information you need is right there in front of you!

4. Website Analysis Dashboard

 

Isn’t it frustrating when your team works on content, design and campaigns only to realize that they’re not exactly sure how people are interacting with your website?

Your traffic looks fine, but which pages are engaging your users? You’re getting clicks, but are the visitors really sticking around? And which channels are driving real value, not just traffic?

The website analytics dashboard pulls everything you need in one place and gives you a live view of how people are finding your sites, what they’re doing once they’re there, and where you’re losing them. 

What Metrics does Website Analytics Dashboard Show You?

• Daily and hourly traffic pattern
• Page performance, like views, time on the page, and bounce rates
• Source and medium insights (organic, paid, social, etc.)
• Device and browser breakdowns to flag UX issues

So, if you want to go beyond vanity metrics and need a complete, contextual view that supports fast decisions, I suggest that you explore the website analytics dashboard from Tableau. It offers simple, visual, and actionable answers. 

5. Project Management Dashboard

 

When you’re managing several projects, or even one complex one, it doesn’t take long before things start feeling out of sync.

And by the time someone notices a delay, its often too late to fix it without affecting other operations!

A project management dashboard brings clarity by centralizing the essentials, like timelines, resource use, and real-time progress tracking. That means you won’t have to chase people for updates or rely on your gut instinct to catch all the bottlenecks. 

How does the Project Management Dashboard from Tableau Help You Stay Ahead?

• Gantt charts to help you visualize project timelines and milestones
• Resource allocation to prevent overload or overuse
• Task progress by team or owner
• Budget vs. actual spending for every phase

By using a unified dashboard built with Tableau, your team can collaborate quickly, eliminate inefficiencies, and never miss deadlines! 

6. Product Performance Dashboard

 

Have you ever been in a situation where you have shipped your new products and responded quickly and helpfully to user feedback, but at the end of the quarter, you’re still left asking: “Which of these actually moved the needle?”

That’s the problem with scattered data:

Sales numbers are in one report, customer feedback is buried in some survey files, and support issues are somewhere in the help desk backlog.

Simply put, without a single streamlined view, you could easily miss the full story and make the wrong call.

That’s where the product performance dashboard helps you understand how each of your products is performing. It specifies not only what’s really selling but also what’s being used, loved or left behind. 

What Can You Measure Using a Product Performance Dashboard in Tableau?

• Products ranked by sales and engagement
• Lifecycle stage insights, like launch, growth and decline
• Support volume and recurring issue trends
• Customer satisfaction and retention signals

In my experience, this dashboard is a must-have for all sales and marketing teams, executives and managers, and R&D teams that want to innovate with intent using clear and data-driven feedback. 

7. Profit and Loss Dashboard

 

Keeping track of your growing enterprise’s revenue and expenses is one thing. But it’s a whole different challenge when you need to use it to gain actionable insights, especially when the data is spread across departments, sales cycles, or regional offices.

Finance teams often work with massive spreadsheets that require constant updates; manual cross-checks, and multiple versions for different stakeholders. Often, this can considerably slow down decision-making and leave a lot of room for errors.

The solution? Tableau’s P&L dashboard that gives you a dynamic view of your income statements that updates automatically in response to changes in your data.

In other words, with this dashboard, you can lay out everything from top-line revenue to cost breakdown, clearly, with the flexibility to zoom in whenever you want!

What Metrics Can You Track Using Tableau’s Profit and Loss Dashboard?

• Month-on-month profit and revenue trends
• Projected budget vs. actual budget comparison at a glance
• Department-level and product-line drill-downs
• Granular data for different regions, time periods, or business units

So, whether you’re a CFO preparing board insights or an analyst tracking profitability drivers, this dashboard will help you make profitable financial decisions with clarity and speed.

The best part? Everyone can see the same version of the dashboard without any version control headaches or outdated numbers. Plus, Tableau’s secure cloud server ensures that your privacy is never compromised!

Make Better Decisions with Augmented-Powered Tableau Dashboards

Did you know that we generate 402.74 million terabytes of data every day? 

But messy data is of no use until it’s collected and processed correctly!

And that is why data-driven decision-making is important. It can help you supercharge your decision-making process.

And you can do so if you have the right tools and a data visualization expert by your side…

 

Each of the dashboards we just explored, including sales, marketing and finance, shows what’s possible when your data is ordered and organized.

With the right dashboards powered by the right data visualization tools, we at Augmented Systems can help you gain actionable insights and anticipate trends before they develop into problems. 

We’ll help you design dashboards that turn your complex data into actionable, interactive views and are built around what your team actually needs!

So, if you’re looking to bring data-driven clarity to your business, why not connect with a data visualization and business intelligence expert from Augmented Systems?

 

We’ll empower you to create simple, powerful data visualizations that actually make your enterprise’s operations faster, better, and more efficient…

Tableau Dashboard Examples: FAQs

1. What are the three types of dashboard actions in Tableau?

The three types of dashboard actions in Tableau include:

• Filter Action: filters data across sheets
• Highlight Action: highlights related data
• URL Action: links to external web content

2. What are the most commonly used charts in Tableau?

The most commonly used (and my favorite) charts in Tableau include:

• Bar charts
• Line charts
• Pie charts
• Scatter plots
• Maps
• Heat maps

You can use all of these charts to visualize trends and compare, and distribute your data effectively and easily. 

3. What makes a good dashboard?

In my experience, a good dashboard should be clear, focused on key metrics, visually intuitive, interactive, and aligned with your goals for quick decision-making. 

4. What are the four elements of a Tableau dashboard?

From what I’ve seen, the four elements of a Tableau dashboard are:

• Data visualization (charts, graphs and tables)
• Key performance indicators or summary metrics
• Filters and selectors 
• Clear context (titles, labels, and actions)

5. Which chart is best for large data in Tableau?

I recommend using scatter plots and heat maps, as they work well with large datasets and effectively reveal patterns, clusters, and outliers.

Did you know that the business intelligence software market is expected to grow from $29.51 billion in 2025 to $36.35 billion in 2029? 

That’s a lot of billions… so why are businesses investing so much in business intelligence?

Personally, I believe it’s because they are finally seeing how much it is going to add value to their final output.

If you ask me, businesses are finally realizing the power of data. 

But there is one thing that I’ve seen over and over again. Businesses collect the data but don’t really know how to use it effectively. 

Reports pile up.

Insights get buried.

Opportunities are missed.

That’s when I recommend using big data analysis techniques with tools like Power BI. How does it help simplify your data? 

That’s exactly what I’m here to share with you.

In this guide, I’ll show you how to use Power BI to make the most of your data.

So, let’s jump right in!

How to Use Power BI: Table of Contents

• How to use Power BI? The Ultimate Guide
• What is Power BI?
• Why Should You Use Power BI?
• Quick Step-by-Step Guide to Using Power BI
• How Marketers Can Use Power BI?
• How Much Does Power BI Cost?
• What are Power BI Best Practices?
• What’s New in Power BI?
• You’re Ready to Use Power BI…

What is Power BI?

Before I discuss how to use Power BI, let’s first briefly examine what it is and why it’s important.

Power BI is one of the most powerful business analytics and data visualization tools in the market today. Developed by Microsoft, it allows you to turn your raw data into actionable and meaningful insights. 

Consider Power BI as a connectivity tool. Why? It allows you to bring together and connect various unconnected sources of data, such as:

• Data from spreadsheets
• Data from your reports
• Data from online services, etc. 

This data from various sources is then analyzed and converted into interactive dashboards with rich reports. It comes in different versions, including:

 

• Power BI Dashboard: Free, Windows-based app for creating interactive reports and visualizations
  
  
• Power BI Pro: Share, collaborate, and publish reports in the cloud with real-time updates and collaboration tools
• Power BI Premium: Scale up with dedicated cloud resources, AI features, and large datasets for enterprise needs
  
  
• Power BI Embedded: Embedded interactive reports into your apps without requiring users to have Power BI accounts
  
  
• Power BI Report Server: Host and manage Power BI and paginated reports on-premise for greater control
  
  
• Power BI Apps: Use pre-packed dashboards and reports tailored to your industry for quick insights
  

Now that we’ve explored the basics of Power BI, let’s see how it can elevate your business processes and add value to your overall business. 

Why Should You Use Power BI?

You can use these beautifully rich reports generated by Power BI to understand what’s working and what’s not across your organization or business.

It helps you track your organization’s key performance indicators (KPIs) by making sense of your messy data. Using these KPIs, you can make better and more informed business decisions. 

Other factors that make Power BI a compelling tool to use include:

• It is easy to use
• Supports multiple data sources
• Provides real-time data updates
• Offers AI-powered insights

So, depending on your priorities and requirements, you can harness its power in a lot of different ways:

For instance, your sales team can quickly access sales performance across different regions or projects, and directors can gain comprehensive insights into project statuses and timelines. 

Convincing, right? Now, I know you might be wondering, “How do I start?” “What are the steps to take?”

Let’s get started then. 

Quick Step-by-Step Guide to Using Power BI

The best part about Microsoft is that it has made Power BI as simple as ABC for everyone to use.

Let’s walk through some of the main steps for you to get started with the Power BI desktop.

How to Download and Install Power BI?

Step 1: Download the Power BI desktop application.

Many users download the desktop version to import datasets and create reports. Once they’ve used the necessary features, they usually switch to the Power BI (cloud-based) service to share them and collaborate on the findings within the organization.

But, if you are a solo worker and need to share data occasionally, you might just need a Power BI desktop.

With that in mind, you get to download the desktop version in the following way:

• Visit the official Power BI desktop page. 
• Click on the “Download now” button.
• The Microsoft Store will open on your screen. 
• Follow the instructions to install it on your Windows device.

Note: Power BI is free for Windows. However, if you are a Mac user, you will need to sign up for the Cloud-based service. 

Step 2: Install Power BI

It might take around 1 GB of space on your desktop, so make sure that your desktop has enough space to accommodate it before installing the Power BI desktop version.

 

1. Open the downloaded file on your computer. 
2. Follow the instructions or on-screen steps. 
3. Launch the app, and you’ll see a Power BI welcome screen. 

It might look something like this:

Now that you’ve got the app up and running, let’s see how you can connect to your data sources! 

How to Connect to a Data Source in Power BI?

If you want to start with Power BI, you will need to import your data from your data sources. It supports various data sources. 

So, you can import data from Excel, SQL servers, Google Analytics, existing Power BI datasets and more. You can also import your data from cloud-based services like Azure and Salesforce.

Connect Your Data Source to Power BI in Four Simple Steps:

1. Open the Power BI desktop on your device. 
2. Click on the home ribbon and then “Get Data.”
3. Select and pick your data source. 
4. Browse or select the file or database.
5. Click Load or Transform Data to begin cleaning.
6. Choose the relevant data file. 

Remember to follow the instructions as and when you see them on the screen. Another important point is that you are not restricted to importing only one dataset. 

How to Clean and Prepare Data Before Using Power BI?

A lot of data is messy and difficult to handle, which is why you’ve decided to use Power BI. Thus, before you start modeling your data and creating reports, it is essential to clean and prepare your data using Power Query. 

Here’s how you can tidy up your data with Power BI:

1. Click on the “Transform Data” button.
2. A Power Query editor is open on your screen. 

Now, let’s assume you select and connect an Excel file. Using the editor, you can perform various actions to remove duplicates, replace missing values, filter rows or columns and more. 

 

Once this is done, use the “Applied Steps” pane to track changes that you made to your file. Finally, if you are sure that your data is clean, click “Close and Apply” to save your changes and return to the Power BI dashboard.

How to Create Data Models and Relationships?

Do you want a report showcasing conversion rates? Do you want to track KPIs such as revenue and profit margins? 

Whatever you need, as long as you have the right data, Power BI makes it visually usable. 

Creating a relationship between your data sources is important to create a visual report. In Power BI, this relationship is done by modeling your data.

The core reason to model your data is to decide what type of report you wish to create with your data. 

 

How do you create this relationship?

1. Go to “Model View.”
2. Drag and drop the field to establish the relationship. (In this case, let’s assume the tables on your Excel file.)
3. Join the data tables using the Primary Key-Foreign Key relationship.

You can also optimize the models using DAX if you want advanced calculations.

How to Visualize Data in Power BI?

Now that your data is ready, it’s time for you to create charts and graphs. Out of many available data visualization tools, choose the one that best suits your requirements. 

Here’s How You Can Create a Visualization Report: 

1. Go to the “Report View.” (You’ll find it in the left-hand navigation panel)
2. Drag and drop your file onto the canvas.
3. Select the type of visualization you want for your data. (Bars, charts, graphs, etc.)
4. Use the visualization pane to customize appearance, filters, and interactivity.

You can customize your visuals by applying filters, themes and slicers. Finally, arrange your visualizations to create a report. During this entire process, you can change the type of visualization if you are not comfortable with the previous one.

Quick Tip: Experiment with different visualizations before finalizing your report. It is important that your visualizations convey a compelling story and information about your data. 

How to Create a Power BI Dashboard?

It’s important for your team members to view and interact with the reports you created. Therefore, publishing your report and creating a dashboard is important for your organization. Power BI dashboard creation also helps you and your team to access these reports from any location. 

 

 Here’s How You Can Create a Dashboard: 

1. Log in to the Power BI service. 
2. Go to the workspace to continue your report. 
3. Open the report that you want to create a dashboard. 
4. Pin the visuals to the dashboard. 
5. Customize and arrange the tiles for your dashboard.

You can pin the visuals to the dashboard by hovering over the visualization in your report. Click the “Pin” icon that appears. You can choose to pin to an existing dashboard or create a new one.

Repeat this process with every visualization. Moreover, you can also pin one complete report on a single dashboard with all the visualizations on the same tile.

How to Share Reports and Stats on Power BI?

Ready to share and export your reports and stats? Great. Here’s how you can share it. 

 

 

1. Go to your workspace. 
2. Select the desired report you want to share. 
3. Click on the “Share” button. (often in the top right corner)
4. Enter the email address of your team member(s).
5. Set/Give permissions like “Can edit” or “Can View.”
6. Click “Send.”

Once you have shared the report, your team members can access and interact with it based on the permissions you give them.

Furthermore, you also have the option to export your work. One of many ways is to export your report as a PDF. By clicking on the export button available in the side menu bar of the Power BI desktop, you can create a PDF. 

All you need to do is to take the following steps:

Select File -> Click on Export -> Select Export as PDF

 

Your file loads into your regular PDF viewer, which you can share easily with your team or stakeholders.

 

So, that’s how Power BI works. Isn’t that easy? I hope this has helped you gain the confidence to use Power BI for clear and insightful visualization! 

Now that you know what is Power BI and how you can use it, let’s quickly review a few important factors, such as how much it costs, what Power BI best practices you should follow, and some latest feature updates. 

How Can Marketers Use Power BI?

You can use the interface to improve different aspects of your organization in many ways. However, this is a quick example to help you understand how you can improve your marketing using Power BI. 

Imagine running a multi-ad campaign on Google Ads and your social media platforms. What would you usually do to know which ad performs the best for you to optimize your budget and make other decisions? 

You would probably manually navigate through several spreadsheets, wasting your time on repetitive, boring tasks that might not even lead to conclusions or decision-making insights. 

But with Power BI’s many data visualization tools, you can analyze and visualize your data within minutes. Isn’t that amazing? Yes, it is! 

How Much Does Power BI Cost?

Before opening your Power BI account, it’s important to decide which plan you want. Ask yourself questions like:

• Do you want to work with basic modeling and visualization without any sharing?
• Are you looking to collaborate and share with your team members and other stakeholders?
• Do you need advanced AI capabilities for large data volumes?
  

Once you have clarity on these questions, you can either sign up for a free plan, a pro or premium version, or a paid monthly subscription. To find out more about the pricing tiers, you can check out their pricing page. 

4 Power BI Best Practices You Should Always Follow…

Only understanding “What is Power BI” isn’t always enough to get the best results. Therefore, we’ve listed a few learnings in the form of best practices that will help you improve your performance and success with the tool. 

Some of the many Power BI best practices are as follows:

1. Properly clean and optimize your data before importing. 
2. Use efficient DAX formulas to enhance the performance.
3. Implement data security and governance, such as role-based access control.
4. Automate data updates to keep your reports up to date. 

Finally, regularly explore new features and updates from Microsoft. 

What’s New in Power BI?

Power BI introduced a few enhancements to its features in February 2025. And we’ve some important ones listed here for your reference. 

• Improved Modeling 

Power BI has improved its modeling capabilities with live editing of semantic models in Direct Lake mode. 

• Interactive Explore Feature

You can now filter, sort, and swap fields and visuals easily for ad hoc exploration in both the read and edit modes of a report. 

• OneLake Catalog

OneLake Catalog is now available on Power BI within Microsoft Teams.

Using these updates, you can now work smarter and collaborate more easily. 

You’re Ready to Use Power BI…

Congratulations! Data visualization just got a whole lot easier for you with Power BI. 

We’ve explored everything from installing to creating dashboards with key components of data visualization and sharing them within your organization.

What’s more is that Power BI offers a free trial and flexible plans to suit your budget!

All that said, mastering Power BI takes some time and expertise. Plus, it’s not the only tool that’s available out there! So before you commit to one, I recommend you explore all your options. 

And, if you need help exploring options or getting started with Power BI, you can talk to our data visualization experts. 

Meanwhile, happy exploring! 

How to Use Power BI: FAQs

1. Can I learn Power BI by myself?

Yes. Power BI is generally easy to learn. You can get started with Power BI as a beginner. You can also use online resources, such as this guide and other tutorials or videos. 

2. How long does it take to learn Power BI?

It depends on your prior experience and how much effort you put into learning it. However, it usually takes four to six weeks to learn the basics of Power BI. If you are keen on mastering its advanced features, it may take a few months. But again, it completely depends on you. 

3. Is Tableau better than Power BI?

Power BI and Tableau are both powerful data visualizations (Business Intelligence) tools. Both tools have their own strengths and weaknesses, but they do overlap regarding their capabilities. The best choice depends on your needs, budget and other similar factors. 

4. What is the full form of Power BI?

Power BI stands for Power Business Intelligence. It is a business intelligence tool that helps you convert your raw data into meaningful insights using data visualization tools. It helps you analyze their data, create reports, and share insights. 

5. Which language is used in Power BI?

Power BI uses two coding languages: Data Analysis Expressions (DAX) and Power Query M. These languages are used for calculations, transformations and data modeling.

Here’s something I hear all the time: “I opened Tableau…and then closed it five minutes later.”

Totally fair. 

It’s one of many powerful and commonly used data visualization tools, which can be confusing at first glance.

So many buttons. 

So many options. 

The interface.

The terminology. 

The charts.

What does “drag a field here” even mean? Plus, let’s not forget the data you have spread across different formats and platforms. 

To be honest, most marketers, sales teams, analysts, and even founders don’t really know what to do with their data, let alone understand it. 

And that’s exactly why I’ve created this guide. 

Sure, it can be a little intimidating for first-timers. But once you know what you’re doing, using Tableau is actually a great source for business intelligence and actionable insights! 

It makes messy spreadsheets visual, interactive, and (dare I say) exciting! 

So, in this guide, I’ve covered:

• What is Tableau, and Why You Should Use It
• How to use Tableau: A Step-by-Step Guide
• And a few of my personal Tableau best practices 

(P.S.: If you’re someone who has been waiting to “get” Tableau but didn’t know where to start, this is especially for you!)

Let’s get started. 

How to Use Tableau? Table of Contents

• What is Tableau?
• How do You Use Tableau Step by Step for the First Time?
• What are Tableau’s Best Practices?
• Is Tableau the Best Tool For Your Business?
• How to Use Tableau? FAQS

What is Tableau?

Before we dive into how to use Tableau, let’s first understand what it is and why you should use it.

Founded in 2003 and now part of Salesforce, Tableau is one of the leading data visualization tools available today. 

It’s trusted by businesses of all sizes to turn their large chunks of raw data into clean, interactive dashboards that are easy to explore and even easier to present! 

Now, think about working in Excel for a second:

You’re juggling between rows and columns, copy-pasting data from different resources, writing complex formulas, and hoping that those pivot tables will not break.

Not a very good feeling, right? 

And in my experience, that’s one of the biggest benefits of Tableau over Excel:

While Excel relies on manual input and formulas, Tableau lets you drag, drop, and visualize your data in real-time from different sources, such as Excel Spreadsheets and Cloud Platforms like Google Analytics.

Once you have all your data in one place, Tableau lets you analyze it visually through charts, graphs, maps, and dashboards. 

Which brings us to the next question:

Why Use Tableau?

Did you know that as of 2024, Tableau is used by over 86,000 organizations worldwide, including giants like Amazon, Deloitte and Unilever?

 

So, why do so many businesses rely on it? Because it helps you quickly understand what’s happening in your business. You can track KPIs, spot trends, compare regions, and get actionable insights within minutes.

 

Some other benefits include:

• It’s beginner-friendly with an intuitive drag-and-drop interface
• Connects seamlessly with 100s of data sources
• Updates your dashboards in real time
• Enables rich storytelling visuals, maps, and charts
• Scales easily across teams and departments 

So, depending on your roles and business goals, you can use Tableau in many different ways. 

Okay, so you might be convinced that Tableau could help you clearly understand your business processes and operations: 

How do you actually use Tableau? What does the process look like?

So, without further ado, let’s get into it.

How do You Use Tableau Step by Step for the First Time?

If you ask me, the best part of Tableau is how naturally it flows.

It’s as simple as this:

• Connect your data
• Drag and drop the fields you want to analyze
• Instantly see the patterns come to life on your screen

So, let’s walk through each step, right from installing Tableau to building your very first interactive dashboard. 

(P.S.: Think of this as your hands-on Tableau dashboard tutorial. By the end of this guide, you’ll know how it flows naturally and lets you go from raw datasets to clean and actionable dashboards.) 

Here’s how it works:

Step 1: Install Tableau 

The first step to harnessing the power of Tableau is to complete the initial setup. You’ve two beginner-friendly options:

• Tableau Desktop: Paid version, but comes with a 14-day trial
• Tableau Public: Completely free, but your dashboard will be public

How to Install Tableau:

 

1. Go to Tableau’s official website

Here’s what it looks like:

 

2. Choose Tableau Public or Desktop, depending on your preferences; again, you should see something like this:

 

3. Download and run the installer

4. Follow the on-screen instructions to install Tableau on your computer

 Once installed, simply launch the Tableau application!

And with that, you’re ready to start creating your customized dashboards! 

Step 2: Connect Tableau to Your Data

Now that you’ve downloaded and installed Tableau, it’s time to bring in your data. 

As we’ve already discussed, Tableau’s best feature is its ability to easily connect to various data sources, such as Google Sheets, Excel, Cloud platforms, and more. 

How to Connect Your Data with Tableau:

1. In Tableau, look for the “Connect” pane on the start screen
2. Select your data source (like Microsoft Excel)
3. Find and select the file you want to work with
4. Click “Open” or “Connect”

Now, you’ll see a preview of your datasets, like rows, columns, or fields, before you start working with them. 

Here’s what it could look like:

Step 3: Clean and Prepare Your Data

In my experience, cleaning your data before using it to create charts and graphs can help you a lot in the long run. Trust me, taking the time to clean your data upfront will save you from a lot of headaches and inconsistencies down the line.

How to Clean Your Data For Tableau:

1. Remove unnecessary columns
2. Rename confusing headers (double click to edit)
3. Check for empty or null values (remove or replace the null values if you find them)
4. Group similar values if necessary (e.g., New York City, NYC)

Tableau makes this part easy with a drag-and-drop interface in the Data Pane. So, you can make changes in your data by dragging and dropping fields, applying filters, or creating calculated fields. And all of this without writing any codes.

Step 4: Start Building Your Visualizations

Finally, we get to the fun and insightful part of using Tableau: 

Clean, clear and concise data visualization.

How to Visualize Your Data With Tableau:

1. Click on “Sheet 1” at the bottom
2. Drag a dimension (like Region) into the rows shelf
3. Drag a measure (like sales) into the column’s shelf 

And, within the blink of an eye, Tableau auto-generates a bar chart for you. (Seriously, go try it yourself. It’s that easy!)

Step 5: Create a Dashboard

By following the steps we’ve outlined above, you can create various charts, graphs, and visualizations. Now it’s time to ‘bring them all together under a common cluster’, through a dashboard. 

How to Create a Tableau Dashboard for Data Visualizations:

1. Click the “Dashboard” tab at the bottom (Next to Sheet 1)
2. A blank canvas appears
3. On the left, drag your sheets one by one into the dashboard area
4. Add filters, legends, and dropdowns to make it interactive
5. Resize and arrange your charts so everything looks clean and tells a clear story

Pro Tip: Use “Containers” to group related charts and keep everything aligned under a suitable tag. 

Step 6: Share Your Insights

Now that you’ve built something you’re proud of. It’s time you share it with your team members and other stakeholders.

How to Share Your Data Visualizations Using Tableau:

• Export as a PDF or image if you want a snapshot
• Publish to Tableau Public, great for portfolios, but remember that your data will be public
• Use Tableau Server or Tableau Cloud to securely share insights with your team

Alternatively, you can also share an entire Tableau dashboard with your colleagues, teams, or fellow executives:

How to Share Tableau Dashboards:

1. Click “File” > “Save to Tableau Public” (Or Server/Cloud)
2. You’ll be asked to sign in or create an account
3. Once published, you’ll get a link you can share

And just like that, you’ve created detailed, highly impactful visualizations and shared them with your team! 

Tableau doesn’t ask you to write codes or memorize complex formulas. You just point, click, drag, and drop!

I’m pretty sure that even if you are brand new to data tools, you’ll pick this up in minutes. 

How to Get the Most Out of Tableau: Best Practices

When you’re starting out with Tableau (or even if you’ve been using it for a while), it’s easy to get caught up in all the features, which could lead you to:

• Lose sight of what’s truly important
• Get overwhelmed by the different functionalities
• Miss out on the best features
• Struggle to identify which features best suit your process
• Even reconsider leaving Tableau altogether!

But as one of the most powerful data visualization tools out there, Tableau shines best when you follow a set of free, practical habits that keep your dashboards clean, useful and impactful.

Here are some Tableau best practices I personally follow. And trust me, they’ve made a big difference in how my dashboards are received:

• Keep your data clean and visuals focused
• Label your charts, graphs, axes, labels, filters, and other elements clearly
• Use colors wisely, like contrasting colors, for sharper insights
• Test interactivity before you share
• Try to create a story for your data visualizations

Following these Tableau best practices will help you build dashboards that don’t just look good but actually help you make real business decisions.

Is Tableau the Best Tool for Your Business?

So, is Tableau the best BI tool? I’d leave that decision to you!

In my experience, it usually depends on what you need. Simply put, Tableau’s effectiveness depends on how you use it and whether or not it fits your team’s needs and workflows!

For instance, if flexibility, real-time insights, and stunning dashboards are important to you, Tableau might be the perfect data visualization tool for your requirements.

And if you’re still unsure where to start or how to harness Tableau’s full capabilities, we can help!

At Augmented Systems, we specialize in empowering enterprises to build customized dashboards that identify problems and drive solutions.

So, if you’re looking to leverage the power of business intelligence through Tableau, connect with us for a free consultation and unlock a world of possibilities!

How to Use Tableau: FAQs

1. Is Tableau easy to learn?

Yes. Tableau is extremely easy to learn, especially if you’re just starting out with data analytics. Its drag-and-drop interface, interactive visuals, and built-in tutorials make it one of the most user-friendly data visualization tools available today. 

2. Is Tableau easier than Excel?

In my experience, Tableau is easier than Excel for data visualizations. While Excel is great for calculations and small datasets, Tableau is great for working with large, complex datasets. 

3. Do I need coding for Tableau?

No, you don’t need coding to use Tableau. However, some basic knowledge of formulas or SQL can enhance what you can do to create dashboards. 

4. Can I learn Tableau in one week?

Yes, you can learn the basics of Tableau in one week, which I think would be enough to build simple dashboards and understand its key features. With consistent practice and by following a good Tableau dashboard tutorial, you can get started very quickly.

I recently sat with a client during a strategy meeting. 

While they were gearing up to upgrade their BI infrastructure, I realized something!

“Everyone knows of Power BI and Qlik.”

But 

“Very few know which one will suit their business model the best!”

Some choose a business intelligence tool based on the brand, and others on guesswork. 

You could spend months setting up your dashboard, and it could turn out to be the wrong platform simply because it isn’t the right fit for your business. 

And I agree, it’s not an easy choice to make!

Both tools offer: 

• Interactive dashboards
• Strong data visualization
• And some solid features

However, the way they work is completely different! Both platforms have strengths and weaknesses.

But the real question is, which one is right for your business? 

And that’s exactly what I’m here to help you find out!

With this blog, I’m going to give you my honest review of the comparison between Power BI vs Qlik. We’ll explore where each platform performs best and how to match the right tool for your goals. 

Let’s dive in!

Power BI vs Qlik: Table of Contents

• TLDR: Who’s the Best? Power BI or Qlik
• What is Power BI?
• What is Qlik?
• Power BI vs Qlik: Similarities and Differences
• Power BI vs Qlik: Who Wins?
• Power BI vs Qlik: FAQs

In a Hurry? See Who Wins: Power BI or Qlik

If you’re short on time, here’s a quick and honest look at Power BI vs Qlik Sense comparison. The two of the most popular and widely used business intelligence tools in 2025. 

TL;DR: Power BI vs. Qlik Sense

Power BI: A great tool that offers seamless integration with Microsoft. Easy to get started with, cost-effective and user-friendly. 

Qlik Sense: This one is best for associative data modeling and ideal for complex data exploration. Qlik also offers powerful automation but requires more technical expertise. 

At Augmented Systems, we use big data visualization techniques to deliver scalable, high-quality and advanced business intelligence solutions tailored to your unique business needs.

Here’s a quick Power BI vs Qlik Sense comparison breakdown: 

 

So, which one should you choose? At Augment, we won’t let you settle for just one. Rather, we bring the best of both worlds, and instead of picking sides, we focus on what works best for you. 

Our vetted team brings out:

• Power BI’s ease of use and seamless Microsoft integrations
• Qlik Sense’s deep data analytics and dynamic capabilities
• Custom BI dashboards, workflows, and automation built to scale
• And expert support to help your team adopt, implement, and maximize both tools

With us, you won’t have to compromise. Instead, we help you build data solutions that fit your goals, not the other way around.

Okay, with that out of the way, here’s a detailed head-to-head comparison between Power BI and Qlik Sense.

What is Power BI?

Developed by Microsoft in 2025, Power BI is a dynamic business intelligence (BI) and data visualization platform. It helps you turn your raw data into meaningful and actionable insights. 

What do I mean by that?

Power BI is a data visualization software that lets you connect, visualize, and analyze your data in real-time. 

So, whether you’re tracking KPIs, forecasting sales, or monitoring your business performance, Power BI lets you use your data to get a complete picture of what’s happening in your business.

But, with so many powerful BI tools in the market, you’re probably wondering:

What Makes Power BI Stand Out?

Power BI stands out because it combines powerful analytics capabilities with the familiarities of Microsoft’s ecosystem. 

Its real strength lies in its deep integration with Microsoft products, AI-driven insights, and a user-friendly drag-and-drop interface. 

Plus, unlike many BI tools that need steep learning curves or depend heavily on IT teams, Power BI gives you complete control to build reports, visualize your data, and uncover insights (even if you’re not a data expert).

In simple terms, you can pull data from various sources, such as:

• Excel
• SQL Server 
• SharePoint 
• Salesforce
• Google Analytics

And visualize complex data through beautiful dashboards with just a few clicks in just a few minutes. 

For example, you want to track your sales team’s performance across different regions. 

So, using Power BI dashboard development, you can:

• Connect to your CRM, Excel tracker, and cloud database
• Combine your data using Power Query
• Build a dashboard that visualizes KPIs, like monthly sales, revenue by rep, and more
• Set automatic refresh  schedules so your dashboard is always up to date
• Share it with your leadership team in Teams, with role-based access to control 

And because it’s part of the Microsoft ecosystem, Power BI plays really well with tools like Excel, Teams and Azure. That means it makes collaborations and data analytics seamless for your data and business. 

Key Power BI Features + Pros and Cons You Should Know in 2025

At first glance, Power BI might look like just another player in the crowd. But once you start exploring it and using it, you’ll realize that it deserves more than just a passing glance. 

It’s a high-performance platform packed with features that give you complete control over your data, regardless of your technical background.

And if you ask me, these aren’t just flashy add-ons. These are core features that simplify your work and help you make smarter decisions faster. 

But before you commit to any BI solution, it’s worth taking a clear, objective look at its capabilities, features, pros, and cons.

What are the Power BI Features?

1. Data Connectivity

You can connect 100+ data sources, whether your data is in the cloud, on-premise or across hybrid environments.

2. AI-Powered Analytics

With Microsoft’s AI built-in capabilities, you can automatically detect patterns, forecast future trends, and get intelligent suggestions. 

3. Drag-and-Drop Reports

You don’t need to write code to build reports. Simply drag a field on your canvas, choose your visualizations, and create dashboards tailored to your business needs. Plus, it automatically generates written summaries of your dashboards.

4. Real-time Dashboards

You can monitor real-time data streams and make faster decisions based on up-to-the-minute insights.  You can also track your business objectives and progress directly into Power BI. 

5. Data Modeling with DAX

Using DAX (Data Analysis Expressions), you can design custom measures, calculate columns, and create relationships across multiple tables. 

6. Integration with Excel and Azure

Without switching platforms, you can reuse your existing Excel data models, connect directly with Azure services, and collaborate across your Microsoft ecosystem. You can also bring machine learning models directly into your reports.

7. Natural Language Query

No more digging through filters and menus. Just type a question like “What were the total sales by product in April?” and Power BI will instantly create a visual answer to your query! 

8. Row-Level Security

With row-level security, you can define who sees what. Define user roles and restrict data access down to the most granular level, making sure that the right person sees the right information at the right time.

9. Power Query and Power Pivot

With Power Query, you can clean, transform, and shape your data before analysis. Plus, it also allows data modeling and DAX-based calculations with the Power Pivot feature. 

What are the Power BI Advantages?

• User-friendly and intuitive dashboard interface
• Affordable pricing, especially the free version and Pro tier
• Excellent integration with Microsoft 365 and Azure services
• Strong community support
• Regular updates
• AI-powered features for deeper insights
• Ability to share reports securely within and outside your organization
• Self-service analytics
• Scalable
• Mobile Accessibility
• Easily share reports or publish to the web securely
• Cloud-powered

What are the Power BI Disadvantages?

• Steep learning curve
• Limited export options, like PDF or PowerPoint
• Premium pricing to unlock advanced features, like AI visuals and paginated reports
• Performance bottlenecks, especially when working with large or complex datasets

If you ask me, the Power BI advantages and unique features make it a powerful choice for businesses looking for flexible, cost-effective, and scalable BI solutions.

Plus, you get the power to move and manage your data without relying on IT or data scientists for every report!

Up Next: let’s have a look at what Qlik can bring to the table for your business. 

What is Qlik?

Qlik or Qlik Sense is a modern business intelligence (BI) and data analytics platform that helps you understand your data and not just report it. 

So, whether you are trying to identify why your sales dipped last month or spot growth opportunities across different product lines, Qlik helps you explore your data in a way that feels natural and intuitive. 

In simple terms, Qlik helps you ask better questions and get smarter answers. 

Plus, it is built for self-service. That means you don’t need to be an analyst or coder to create interactive dashboards, generate reports, or analyze complex data sets.

With Qlik, you can explore your data on your own terms. 

What Makes Qlik Stand Out?

One word: Associative Engine. 

Unlike traditional BI tools that rely on predefined engines and rigid hierarchies, Qlik uses a unique associative model that lets you explore your data freely. 

That means you are not limited to what someone else thinks you’d need to ask or boxed into someone else’s logic. 

You can click, filter, and pivot your data in any direction you want and uncover insights that would otherwise be hidden. 

So, with Qlik, you can:

• Explore different combinations of data
• Never miss a developing or hidden trend
• Get actionable insights and feedback
• Follow associative logic
  

One thing that stands out to me is that Qlik is leading the charge of integrating artificial intelligence into its core functions. Its AI-powered Insight Advisor does more than just surface your data. It suggests the best charts, highlights key drivers and trends, and even auto-generates dashboards. 

In short, Qlik helps you not just report on what happened but also understand why it happened and what you can do next. 

Key Qlik Features + Pros and Cons You Should Know in 2025

Most Power BI tools expect you to follow the same straight path. 

Define the question -> Run the query -> Wait for the answer. 

Qlik flips the script. It’s built for users who don’t always know the right question upfront. 

How? Let’s take a closer look at Qlik. What it does well, where it shines, and what you should keep in mind before diving into it. 

What are the Qlik Features?

1. Associative Data Model

You can explore data without being restricted to a single path. That means Qlik’s engine shows you both selected and unselected data so that you can uncover insights that other tools might miss. 

2. Insight Advisor (AI-Powered Analytics)

It uses AI to recommend charts, uncover patterns, and even auto-generate dashboards for you. You just have to type a question, and it will deliver answers, complete with explanations and visualizations. 

3. Self-Service Visualizations

You won’t have to worry about writing SQL or depend on your IT teams with Qlik, as it’s built with interactive dashboards with drag-and-drop ease.

4. Augmented Analytics

AI and ML (Machine learning) work in the background to help you spot trends and analogies. It alerts you even for the ones you weren’t actively looking for. 

5. Advanced-Data Preparation

With built-in ETL capabilities, you can clean, transform, and load your data all within Qlik. That means you won’t have to worry about jumping between different tools or platforms. 

6. Multi-Cloud and On-Premise Deployment

Qlik Sense supports all platforms. So, whether you want to host your analytics on the cloud, in a hybrid setup, or completely on-premise, you have the freedom to do it. 

7. Embedded Analytics

You can embed dashboards and visualizations into your web apps, portals and internal systems. Thus, Qlik gives your users insights right where they work. 

8. Strong Data Governance

Define rules, roles, and access levels across your organization with complete control over data lineage and security. 

What are the Qlik Sense Advantages?

• Free data exploration
• AI-driven insights with Qlik’s Insight Advisor
• Scales across teams and data sizes
• Flexible deployment, giving you the freedom to choose what fits your infrastructure
• Strong community and resources, such as tutorials, forums, and templates
• Regular updates and new features

What are the Qlik Sense Disadvantages?

• Can be complex for beginners or new users
• Higher pricing, thus not suitable for all business types
• For advanced analytics, you might need scripting knowledge

Bottom line? If you’re looking for a tool that lets you think outside the traditional “Query box,” Qlik Sense is a strong contender. Qlik Sense advantages, such as deep AI features and unmatched data exploration capabilities, make it fast, intelligent and flexible. 

Power BI vs Qlik: Similarities and Differences

That said, Qlik and Power BI are two of the most powerful BI tools or data visualization software currently on the market. 

And while they both help you turn your raw data into business decisions, how they get you there is where things get interesting!

Each platform has its own strengths and weaknesses. Simply put, what may work perfectly for someone else might not be the right tool for you.

So, if you are wondering, “Which one should I go for?” 

Let’s have a look at a clear-cut side-by-side comparison and see how exactly Qlik and Power BI stack up!

So, before we jump into what makes Power BI and Qlik Sense different, let’s take a moment at what they have in common.

Here’s what both these top-tier business intelligence tools have in common:

With these shared strengths, both tools support flexible data exploration, powerful visualizations, and easy collaborations for you and your teams. 

Now, here’s where Power BI and Qlik Sense start to differentiate:

So, after this in-depth comparison, I think it’s clear that both Power BI and Qlik are suitable for different use cases. 

Power BI vs Qlik: Who Wins?

The business intelligence software market is booming. And the numbers prove it! 

In 2025 alone, the global software market is projected to generate $29.51 billion in revenue. 

With a compound annual growth rate (CAGR) of 5.35% from 2025 to 2029, it’s expected to reach $36.36 billion by the end of the decade.

So, what does this mean for you?

It tells you one thing: businesses are investing more and more in smarter, faster ways to work with their data. And choosing the right data visualization software or a business intelligence tool is a big part of it. 

When it comes to Power BI or Qlik Sense, there is no right or wrong option! Your decision should depend on:

• The complexity of your data
• Your team’s technical skill level
• Integration needs of your project
• The overall budget
• And, of course, your long-term analytical goals

If you ask me, both platforms are strong contenders.

Power BI wins with its ease of use, cost-effectiveness and Microsoft ecosystem. 

Qlik shines when it comes to flexibility and associative data exploration. 

So, really, it’s less about which tool is “better” and more about which one fits your requirements. 

And if neither tool feels like a perfect match, that’s okay, too! 

There’s a whole landscape of data visualization and BI tools out there. Exploring your options would be the smartest first step! 

And if you’re not sure how to take that first step, connect with us at Augmented Systems. 

Our experts provide comprehensive solutions by combining the best features of different tools.

So, why not connect with us for a commitment-free consultation and start your journey toward seamless data visualizations? 

Power BI vs Qlik: FAQs

1. Why is Business Intelligence helpful for your business?

Business intelligence tools turn raw data into actionable insights. That means these tools, like Power BI and Qlik, help you make smarter decisions, spot trends, improve efficiency and stay ahead of the competition.

2. How does Power BI help businesses?

Power BI simplifies data analysis with its easy-to-use dashboards, real-time insights, and seamless integrations with Microsoft tools like Excel and Azure. 

3. Is Power BI in demand?

Yes. Power BI is one of the most in-demand BI tools around the globe because of its cost-effectiveness, user-friendly features, and integration with Microsoft 365. It’s a top choice for businesses of all sizes, especially in fast-growing markets like India, the US and Europe. 

4. What language is Qlik?

Qlik uses its own scripting language for data transformation and modeling. It also supports expressions using Qlik’s syntax and functions, and integrations with languages like SQL, Python, and R for advanced use cases. 

5. Can both Power BI and Qlik handle large datasets?

Qlik is known for its in-memory associative engine, which allows fast, flexible analysis across massive datasets. Power BI can manage large datasets, especially with Premium capabilities and the use of tools like DirectQuery or aggregations.

Doesn’t it feel overwhelming when you try to make sense of vast amounts of raw data?

As a business owner, I completely understand how challenging it can be to convert all that complex raw data into actionable insights.

It all comes with the stress of:

• Ensuring accurate data, 
• Finding a reliable business intelligence solution, and 
• Using the power of analytics to create a decision-making process

What if I told you there’s a way to simplify this process? An interactive dashboard in Tableau can provide clear and actionable insights from huge and complex datasets. 

It’s basically a way of Data visualization, which is a graphical representation of data that helps you effortlessly identify trends, patterns, and relationships.

There are plenty of data visualization tools on the market, but Tableau does its job best. Business owners rely heavily on it to monitor key metrics, extract clear and actionable insights from their collected data, and make informed decisions at a glance.

In this blog, I’ll share the exact process of creating an Interactive Dashboard in Tableau and how you can benefit from it.

So, without further ado, let’s dive in!

What Is The Purpose Of A Tableau Dashboard?

Your management team may come from a non-technical background, and Tableau is user-friendly and caters to them. But it’s not just limited to that; there’s more to it.  

1. Data Consolidation

While running a business, you may deal with multiple reports in Excel, spreadsheets, or SQL. What I personally like about Tableau is that it consolidates the reports from various sources and brings them into a single view, so I get a clearer picture of all the data in one place. 

2. Real-Time Data Monitoring

Instead of waiting to get your reports generated from multiple sources, you can use Tableau for instant access to your business metrics. This way, you can track your business progress instantly and stay updated with the information.  

3. Decision Making 

In Tableau, all your business-related data will be presented to you in an interactive form. So you can dig deep into all the historical data and add or remove parameters. This data will help you in forecasting the demand for your product or service, eventually leading to better decision-making.  

4. Interactivity

Tableau is also well-known for its interactivity! You can customize your view, filter the data, use a single metric or even zoom into a timeline. Simply put, it gives you the flexibility to explore and analyze your data in any possible way that suits your requirements. 

5. Analysis 

Tell me why you want to look into these dashboards. It’s for detailed analysis, right? A tableau dashboard helps you perform a deep analysis of your data, monitor key performance indicators, and get a connection from past events. This way, you’ll be able to find areas of improvement in your business for better outcomes.

So you see, these are some of the reasons why Tabluae is one of the first choices when it comes to choosing from various data visualization tools.

What Are The Different Types Of Tableau Dashboards?

So, before we discuss how to create Tableau Dashboards, we must understand the types of dashboards offered in Tableau. There are three different types of dashboards that you can use: 

1. Operational Dashboards

Operational Dashboards track the real-time performance of your daily business activities or operations. These dashboards come with numerous metrics to choose from, such as website traffic, inventory, and sales. Thus, you get instant visibility into your daily data and can take quick action if things start to go wrong.

2. Strategic Dashboards

Strategic dashboards are designed to help you achieve your long-term goals. They are mainly used by analysts and executives to create an effective decision-making process. A strategic dashboard analyzes historical data and helps you analyze and prepare detailed reports on your business’s past performance. Thus, you get a high-level overview of your business health, including growth patterns and KPIs.

3. Analytical Dashboards

Analytical Dashboards allow you to track the ongoing performance of your company and create strategies accordingly. Think of it as your go-to tool for finding trends, making projections, and identifying opportunities for improvement.

 

Now that we’ve explored the benefits of using Tableau Dashboards and the various dashboards it offers, let’s discuss how to build an interactive dashboard in Tableau from scratch.

How To Build An Interactive Dashboard In Tableau?

It’s time to walk you through a short Tableau dashboard tutorial. This step-by-step process will help you understand how to build a fully functional and interactive Tableau dashboard clearly and easily. While you go through the steps, you’ll find some of the best practices for Tableau Dashboards.

Step 1: Preparing Data for Tableau Dashboard

The first and foremost thing is to select the data you want to visualize. It may be demand forecast, budget, trading volumes, fleet fuel consumption sales, conversion rates, etc. All the data comes from various sources and you need to connect them with Tableau. Here’s how you can do it.

• Step 1: Launch Tableau Desktop 
• Step 2: Click “Connect to data”
• Step 3: Select your data source (Excel, SQL, Google Sheets, etc.).
• Step 4: Choose the required table and preview the dataset.

Messy data? No problem! Tableau provides built-in data cleaning tools to refine your dataset before visualization.

• Handle Null Values: Removes or fills in missing values to avoid incorrect insights.
• Filter Irrelevant Data: Uses the Data Interpreter to automatically detect unnecessary fields.
• Rename Fields: Ensures meaningful column names for easy reference.

Step 2: Load and Connect Your Data

Once your data is prepared, it’s time to bring it into Tableau and optimize it. Tableau can automatically detect data types such as:

• Strings: Text values like names and categories.
• Numbers: Whole and decimal values.
• Dates & Times: Temporal data for trend analysis.
• Geographical Data: Locations like states, countries, and latitudes or longitudes.

Plus, it also offers advanced data modeling features like:

• Pivot Columns: Reshapes wide datasets into a vertical format.
• Create Calculated Fields: Generates new insights directly in Tableau.
• Use Level of Detail (LOD) Expressions: Analyzes data at different levels without affecting aggregations.

Step 3: Create Essential Visualizations

Now, I am going to discuss the part that you all have been waiting for: building interactive charts and graphs!

Let’s understand this by taking an example of a dataset with:

• States (String): 20 states
• Regions (String): 5 regions
• Latitude & Longitude (Geography): Geolocation coordinates
• Dates (Date & Time): April 1, 2025, to May 30, 2025
• Usage (Decimal Numbers): Power consumption in Megawatts

Next, you need to convert the raw data into meaningful charts. You’ll have the option to choose from the following:

• Bar Charts: Compares categorical values.
• Line Graphs: Shows trends over time.
• Maps: Displays geospatial data like power consumption per state.
• Heatmaps: Highlights high and low-performance areas.

Here’s how you can visualize the data:

• Step 1: Just select the data field from the left panel.
• Step 2: Drag it into the Rows/Columns shelf in the Worksheet tab.
• Step 3: Choose the appropriate chart type from the “Show Me” panel.

Pro Tip: You can optimize your dashboard’s performance by reducing unnecessary calculations and using Extract Mode for large datasets. To learn more about data visualization components in a more detailed manner, click here.

Step 4: Add Interactivity with Filters, Parameters, and Objects

You can make the dashboard more interactive when you add Filters, Parameters and Objects. 

Adding Filters

Filters will allow you to get into specific data points. So, to add filters:

• Step 1: Click the drop-down menu on any field.
• Step 2: Select “Show Filter” 
• Step 3: Choose filter type (Dropdown, Range, Multi-select).
• Step 4: Apply it to multiple sheets if needed.

Adding Parameters

Parameters let you change the dashboard views. For example, you can create a parameter for “Year Selection” and link it to charts so you can toggle between the years.

Adding Objects

• Step 1: Go to Dashboard Layout.
• Step 2: Drag Text Objects for titles & explanations.
• Step 3: Insert Images & Icons for better visuals.

Step 5: Assembling the Dashboard

Once you are done with the individual visualizations, you need to combine them to form a single interactive dashboard. Follow these steps to create one:

• Step 1: Click New Dashboard 
• Step 2: Drag sheets onto the canvas.
• Step 3: Arrange charts logically (e.g., KPIs on top, detailed charts below).

Step 6: Publishing & Sharing

Finally, it’s time to share the dashboard you have created with your colleagues. You can publish it to the Tableau Server or Tableau Public.

1. Step 1: Click “File” 
2. Step 2: Publish to Tableau Server for internal use.
3. Step 3: Choose Tableau Public if sharing publicly.
4. Step 4: Set refresh schedules for live data updates.
5. Step 5: Managing User Permissions

   – Viewer: You can view but cannot edit.

   – Editor: You can edit and modify dashboards according to your convenience. 

   – Admin: You get total control over access and permissions.

So, with that set, you have gone through a complete tableau dashboard tutorial. From here on, a tableau dashboard creation will become super easy for you. 

Let Your Tableau Dashboard Bring Clarity To Your Data

Now, you are equipped with the knowledge of how to build an interactive dashboard in Tableau.

 

Through this blog, we have discussed how to build an interactive dashboard in Tableau and its benefits. If you follow this detailed guide, I can guarantee that you’ll be able to create a well-structured dashboard. You’ll also be able to create it with interactive visualizations that will drive data-driven decision-making.

You may not even need to take the challenge of creating an interactive Tableau dashboard all by yourself. You can simply work with an expert to help you leverage the capabilities of platforms like Tableau.

So, if you want to supercharge your productivity and make data-driven decisions, why not reach out to us?

Our data visualization services are designed to bring out and identify critical insights from your data and support your business in growth and innovation. Our data visualization experts at Augmented Systems has a proven track record. Reduced data analysis time by 55% and increased productivity by 68%!

So what are you waiting for? Contact us today and start making smarter decisions for your business!

FAQs

1. What is Tableau Dashboard

A Tableau Dashboard shows various types of visual data in one place in graphical form, such as bars or charts. It displays complex data or key metrics in an easy-to-understand form to improve business decision-making. 

2. How many types of dashboards are there in Tableau?

In Tableau, the dashboards are categorized into three parts:

• Operational Dashboard: Track the real-time performance of your daily business activities so you get instant visibility into your daily data
• Strategic Dashboard: Looks into the historical data and helps you analyze and prepare detailed reports on the past performance of your business.
• Analytical Dashboard: Tracks the ongoing performance of your company, letting you find trends, make projections, and identify opportunities for improvement.

3. How do I add interactivity to my Tableau dashboard?

Adding filters, parameters, and action buttons is a simple way to add interactivity to your Tableau Dashboard.

Businesses struggle to transfer raw data into actionable insights after cleaning and standardizing it.

Choosing a user-friendly visualization tool that offers flexibility can be challenging, often leading to missed opportunities.

I understand the frustration of dealing with complex datasets and limited tools.

After all, the inability to create meaningful visualizations can hinder effective decision-making and analysis.

Tableau, a data visualization software, helps you address these issues with its user-friendly interface.

Its Level of Detail expressions, FIXED, INCLUDE and EXCLUDE, allow for customized analysis tailored to specific needs.

In this article, we’ll discuss how to effectively use LOD expressions in Tableau, using practical business examples to provide deeper insights into the data.

Let’s get started by understanding LOD Expressions.

What are LOD Expressions in Tableau?

LOD expressions are a set of calculations in Tableau, a data visualization software, that allows you to compute values at various levels, irrespective of the dimensions in the view.

They allow for more granular control over data aggregation, making analyzing and visualizing complex datasets easier.

Moving ahead, let us check out why the LOD equation holds a lot of Importance in visualization.

Why Are LOD Expressions Important?

LOD expressions enhance data analysis by allowing you to define specific levels of detail for making calculations.

This flexibility is essential to answer complex business questions that require insights beyond simple aggregations.

For instance, using FIXED expressions would offer consistent metrics across different views. 

Whereas INCLUDE and EXCLUDE expressions will help refine the analysis by focusing on relevant data points.

Further, let us check out different types of LOD expressions

3 Main Types of LOD Equations

There are mainly three types of LOD expression in Tableau; let’s understand each of them below:

1. FIXED Expressions

It computes value using specified dimensions, regardless of the dimensions in the current view.

Syntax

 

• text
• {FIXED [Dimension] : AGG ([Measure])}

2. INCLUDE Expressions

It adds additional dimensions to the calculation, thus allowing more detailed aggregation than those in the view.

Syntax

• text
• {INCLUDE [Dimension] : AGG ([Measure])}

3. EXCLUDE Expressions

Removes certain dimensions from the calculation, resulting in a less granular aggregation.

• text
• {EXCLUDE [Dimension] : AGG ([Measure])}

Let us check out the Top 5 Use Cases of LOD Expressions.

What are the Top 5 Use Cases of LOD Expressions?

LOD expressions are widely used technologies for visualization. They can help improve data analysis.

LOD equations allow calculations at different granularities, uncovering insights that might be missed otherwise.

Below are the Top 5 Use Cases that show the power of LOD expressions:

1. Cohort Analysis

Cohort analysis helps you understand how groups of customers behave over time.

By grouping customers based on their first purchase, you can track their retention and engagement.

Example: You can use a FIXED LOD equation to see how many times each customer made a purchase:

• text
• {FIXED [Customer ID]: COUNTD ([Order Date])}

This expression counts each customer’s unique order dates. It helps you see how many customers return to make additional purchases, which is necessary to measure loyalty and the success of retention efforts.

2. Calculator Percent of Total

If you want to make informed and proactive decisions about inventory and marketing, you need to know how much each category contributes to overall sales. And that’s exactly what the “Calculator Percent of Total” function helps you with.

Example: An INCLUDE LOD expression can help you calculate the percentage of total sales for each category:

• text
• {INCLUDE [Category]: SUM ([Sales])} / SUM ([Sales])

This expression shows you how much each category contributes to total sales. It helps you identify which categories are performing well and which many need more attention.

3. Handling Duplicate Records

Duplicate records can distort data analysis, leading to incorrect conclusions. It’s important to ensure that the analysis reflects accurate counts.

Example: An EXCLUDE LOD expression can help you count unique customers while ignoring duplicates:

• text
• {EXCLUDE [Transaction ID] : COUNTD ([Customer ID]})

This equation counts distinct customers by excluding duplicate transactions. This is particularly helpful when analyzing customer behavior or targeting specific segments without the noise of duplicates.

4. Comparative Analysis Across Dimensions

Comparative analysis allows you to evaluate performance across different categories, such as regions or products.

Example: A FIXED LOD expression can be used to compare sales figures by region:

• text
• {FIXED [Region]: SUM ([Sales])}

This expression calculates total sales for each region, providing consistent numbers irrespective of other filters applied.

It helps businesses see which regions are performing well and where improvement may be needed.

5. Dynamic Reference Lines

Dynamic reference lines show context in visualizations, helping users quickly understand performance against benchmarks.

Example: An INCLUDE LOD equation can create a dynamic average line:

• text
• {INCLUDE [SEGMENT]: AVG ([Sales]}

This equation calculates the average sales per segment and updates automatically based on user filters.

It allows users to see how current performance compares to historical averages, making it easier to spot trends and adjust strategies in real-time.

Next, let us check out LOD tableau examples and explore what makes it a better tool!

LOD Tableau Examples: Some Practical Examples to Know

Implementing these use cases in Tableau includes creating calculated fields using the appropriate LOD syntax and visualizing them through charts or tables.

Here’s a step-by-step guide:

1. Open Tableau and connect to your dataset.
2. Create a calculated field by navigating to Analysis > Create Calculated Field.
3. Input your LODs in Tableau using one of the syntaxes provided.
4. Drag your calculated field into Rows or Columns to visualize it.
5. Adjust filters and parameters as needed to see how your visualization responds dynamically.

Incorporating screenshots or visual ads can help you improve your understanding, illustrating how each expression affects the resulting visualizations.

Further, let us check out the difference between LOD Expressions of Tableau.

Difference between LOD Expressions in Tableau

This table compares FIXED, INCLUDE and EXCLUDE lods in Tableau, making understanding their unique characteristics and applications in data analysis easier.

Convert Data in Actionable Insights with LOD Expressions

LOD expressions in Tableau are essential for data analysts seeking deep insights through flexible and precise data aggregation methods.

Using best practices of data visualization and implementing LOD expressions in Tableau can help you improve your analytical capabilities and create more impactful visualizations.

Frequently Asked Questions

1. What are some common mistakes when using LOD expressions?

Some common errors in LOD expressions include:

• Ignoring context filters when using FIXED expressions
• Overusing INCLUDE expressions can lead to confusion in data interpretation.
  

2. How do LOD expressions affect performance in Tableau?

While FIXED expressions can enhance performance by reducing unnecessary calculations, INCLUDE and EXCLUDE expressions might slow down performance if they introduce complexity or excessive detail.

3. Can I use multiple types of LOD equations together?

Yes! You can combine different LOD expressions in Tableau to achieve complex calculations designed for specific analytical needs.

Many companies struggle to manage the scattered data populated from different sources, which leads to inconsistent reports.

Without a central system, your team may find it difficult to get the reliable information they need to make informed decisions. This might slow down your operations and consume valuable resources.

Trust me, I understand the perils of maintaining a healthy data infrastructure. 

So, how can you overcome the challenge of finding the right information at the right time?

Don’t worry, we’ve got just the solution you’re looking for: Power BI Dataflows, powered by one of the most powerful data visualization applications on the market.

They act as a central location for collecting, cleaning and preparing data for analysis.

With familiar data-cleaning tools, teams can automate these processes and ensure everyone uses the same numbers throughout their reports.

In this guide, I will cover everything you need to know about Power BI Dataflow and how it can improve your data management.

Let’s begin!

What is Power BI Dataflow?

Power BI Dataflows are a helpful tool that helps you gather, clean and organize data from various sources into the Power BI service.

By centralizing data management, Dataflows helps you create consistent and reusable processes, ensuring the reliability of reports and dashboards.

This feature allows organizations to build a strong base for their data analysis, making it easier for teams to work together and maintain data quality.

Key Features of Power BI Dataflow

• You can easily link to many types of data sources like datasets, Excel files and APIs to combine different datasets.
• Use powerful Power Query tools to perform tasks such as filtering, merging, and cleaning data while keeping it accurate.
• If you have a premium account, you can enjoy faster data processing, real-time data access with DirectQuery and options to refresh only changed data.
• Set up your Dataflows to refresh automatically so that your reports always show the latest information.

Further, let us check out the vital elements of Power BI Dataflow.

Power BI is made up of 3 vital elements:

1. Power BI Desktop: A free desktop application that allows you to build and design reports.
2. Power BI Service: The online publishing service to view and share reports and dashboards.
3. Power BI Mobile Apps: To view reports and dashboards on the go.

Let us understand the difference between Power BI Dataflows and Traditional Data Preparation Methods.

Power BI Dataflows vs. Traditional Data Preparation Methods

 

 

After understanding the difference between Power BI Dataflows and Traditional Data Preparation Methods, we can discuss the benefits of using Power BI.

What are the Benefits of Using Power BI?

Power BI offers extensive benefits, especially if you want to visualize data through its powerful dataflows.

These dataflows smoothen your applications by incorporating key components of data visualization like:

• The purpose which guides the design 
• Accurate data that transforms the foundation for insights
• Visual elements like Charts simplify complex information.

By integrating these elements, Power BI helps you to create engaging visualizations that build informed decision-making and a data-driven culture within the organization.

Moreover, Power BI offers tons of benefits, which are mentioned below:

1. Centralization of Data Preparation Tasks

Power BI Dataflows enables you to centralize data preparation and streamline the process of cleansing data from different sources.

This approach improves performance by reducing the load on data sources and ensures that all users can access datasets smoothly.

2. Enhanced Collaboration and Sharing Capabilities

With Power BI Dataflows, you can smoothly share transformed data with your teams, encouraging collaboration and ensuring a uniform approach to data management.

This capability allows multiple users to work together effectively, thus enhancing the overall quality of analysis and decision-making.

3. Improved Data Quality and Consistency Across Reports

Power BI Dataflows helps you manage high quality and consistency by centralizing data preparation.

You can reuse transformation across different reports, minimizing redundancy and ensuring all stakeholders work with the same data.

4. Scheduled Refresh Capabilities for Up-to-Date Insights

You gain the ability to automate the refresh of Power BI Dataflows at set intervals, ensuring that your reports always reflect the most current data.

This scheduled refresh capability is necessary for managing up-to-date insights, allowing you to make informed decisions based on the latest information available.

These benefits help you convert your existing business processes into more efficient data workflows.

Effective data visualization relies on key components like clarity, accuracy and relevancy. Power BI dataflows can help you ensure these components are present by offering a centralized and reliable data source.

Next, let us understand the Use Cases for Power BI Dataflows.

What are the Use Cases for Power BI Dataflows?

Power BI dataflows are usually useful in various scenarios:

1. Large Datasets Requiring Frequent Updates

When your data source is slow, and multiple datasets need the same data or a part of it.

MySQL is a common slow data source, especially with large datasets, which leads to degraded query performance.

Dataflows act as centralized storage locations, allowing efficient data management and minimizing direct interactions with slow sources.

This improves overall report performance and user experience.

2. Collaborative Projects Involving Multiple Team Members

Share Power BI dataflows with teams to get the right collaborative access.

3. Standardization of Data Preparation Across Various Reports

Power BI Dataflows enable you to perform reusable data transformations and custom functions to promote reusable consistency and reduce the need to recreate complex changes.

4. Slow Data Sources

Data flows are useful when your data source is slow and multiple datasets require the same data or a major portion of it.

For example, suppose a company has a list of parts to be used in its manufacturing process. Moreover, Dataflows will help you clean up the Excel list and store it as centralized data to improve it later.

This way, everyone in the company can easily access and use the active parts list while preparing reports.

In the next section, I will discuss how to start using Power BI Workflows after learning about the use cases.

4 Steps to Getting Started with Power BI 

We have reached the most important section of this Power BI tutorial guide for beginners. In this section, I will walk you through the process and show you how to start using Power BI.

1. Prerequisites

Required Licenses: Dataflows are created in the Premium workspace by users with a Pro license and users with Premium per-user licenses.

Accessing the Power BI service: Launch the Power BI service in your preferred browser.

2. Creating Your First Dataflow

• Select a Workspace: Choose a workspace from the navigation pane.
• Create a dataflow:  There are various ways to create or build on top of a new Power BI dataflow:– Create a Power BI dataflow with a new source.
  – Moreover, you can also create Power BI dataflows with linked tables.
  – You can also create it using CDM folders.
  – Lastly, choose import/export options to create Power BI dataflows.

3. Define New Tables and Link Existing Ones

Use new source options to define a new table and connect to a new data source.

4. Import Models or Use Common Data Model Folders

In the last step, you should create a Power BI dataflow using a specified CDM folder.

After creating Dataflows, it is necessary to understand how to manage and configure them to produce better results. In the following section, we will learn how to do this.

How to Manage and Configure Dataflows?

Power BI Dataflows are tables created and managed in workspaces within the Power BI services.

This dataflow allows you to add and edit tables and manage data refresh schedules directly from the workspace where it was created.

Once connected, you can select the data for your table. Power BI reconnects to the data source after you choose the data and a source.

This reconnection keeps the data refreshed at a frequency selected later in the setup process.

Let’s discuss the Best Practices for using Dataflows with Power BI.

What are the Best Practices for Using Power BI Dataflows?

Below are 5 Best Practices for using Power BI Dataflows:

1. Organize with Naming Conventions

I highly recommend using clean and consistent naming conventions for your dataflows to manage their structure and make them easier to find and manage later.

2. Break Down Complex Queries

Break complex processes into multiple queries rather than having many steps in a single query. This will make tracking and debugging each part of your data preparation easy.

3. Use Linked and Computed Entity

Use linked entities to reference other dataflows with data duplication and computed entities to create new ones based on existing ones.

4. Manage Refresh Schedules

I also suggest setting up auto-refresh schedules for your dataflows. It will allow you to ensure that reports are always up to date. Power BI’s built-in scheduling feature automates this process.

5. Document Your Dataflows

Detailed documentation of the logic and transformations used in the dataflows is recommended. This helps with future reference, troubleshooting and managing the flow over time.

Better Data, Smart Decisions: Start with Power BI Dataflows!

Power BI dataflows are powerful tools for data preparation and transformation. It offers benefits such as centralization, collaboration and consistency.

Understanding Power BI, its data flow, and how to use it effectively can enhance your data visualization application.

Whether you are following Power BI tutorials for beginners or implementing advanced features, dataflows by Power BI will streamline the process.

Frequently Asked Questions

1. What is Power BI Dataflow?

A Power BI dataflow is a cloud-based ETL tool built for data preparation and transformation. It enables users to connect various data sources, transform the data using Power Query and make it available in multiple Power BI reports.

2. What are the Benefits of Using Power BI Dataflows?

In my experience, Power BI dataflows offer us a host of benefits like:

• Centralizing preparation tasks
• Enhanced collaboration and sharing abilities
• Improved data quality.

3. Do I Need a Special License to Create Power BI Dataflows?

Dataflows can be built in a Premium workspace; users with a Pro license and a Premium Per user license can build it.