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Blog Data Migration

Why Partnering with a Data Migration Consultant is Crucial for Your Business?

Downtime, Data loss, System Crash.

Ready to lose business to a data migration gone wrong? Ready for all your data to disappear in thin air?

Data migration is not a child’s play. It’s a complex task that requires professional expertise.

It also demands securing all your data and the future of your business. 

So, stop hoping for the best every time and hire data migration consulting services for a seamless transition. But how?

Read on to learn about the benefits of data migration consulting services and see how you can future-proof your business.

Dig in.

What is the Role of a Data Migration Consultant?

A data migration consultant facilitates a seamless data transfer from your legacy outdated system to a new one. 

Consultants use their expertise to guide businesses about using different migration methods, techniques, and tools. To perform data migration, you need a whole set of skills, experience and knowledge. These specializations and expertise include:

  • In-depth knowledge of database systems
  • Strong accuracy and attention to detail
  • Excellent problem-solving abilities
  • Logical and analytical thinking skills
  • Effective time management capabilities
  • Expertise in data protection and security
  • Advanced understanding of database design and management
  • Experience handling large datasets across diverse formats and structures
  • Proficiency in programming languages like SQL, Java, and Python
  • Strong analytical skills for identifying patterns and trends in data

Migrating data from one system and application to another is not simple. The consultants use data migration best practices to ensure a successful migration. 

But the question is, why should you hire data migration consultants? How does it benefit your business?

Why is Data Migration Consulting Crucial for Businesses?

As a business owner, what are your priorities?

  • To enhance your operational services efficiently.
  • To secure your customer and business data.
  • To scale your business with the current market.

But the question is, how do you do that when planning for a successful data migration? How do you avoid hindering the data migration process and free up your internal team to focus on these core business operations?

The answer: By hiring a data migration consultant. Because you cannot stare at your screen waiting for all the data migration benefits without hiccups. 

Data migration consultants have the specialized knowledge, advanced tools, and proven strategies to handle your migration projects. Businesses can reduce risks and focus on other key business activities while the experts plan for their data migration success. 

6 Ways Data Migration Consulting Helps Businesses

The benefits of data migration are many. But considering big data and its impact on your businesses, moving to different technological environments, the prospects of data loss will always be daunting. 

Data migration consulting ensures that all your data is transferred smoothly, efficiently and securely. Here are 6 reasons data migration success can benefit your business.

1. Data Security and Compliance

As a business owner, you deal with customer data, financial records, and proprietary data. (Apart from many other things.) And the last thing you want is the risk of a data breach, data loss or a financial mishap because of a small migration mistake.

Data migration consultants ensure your data and other crucial information stay safe and compliant. The experts handle everything from top-notch security practices and encryption to anonymization and compliance standards. 

2. Minimizing Downtime and Disruption

Imagine days, weeks, or even months of business downtime. It would be a nightmare, right? Data migration requires changes across the organization. These changes affect people, technology, and system processes, leading to downtime and disruptions. 

It is almost impossible to achieve zero downtime during the migration process. However, data migration consultants can ensure minimal disruption or downtime. 

You cannot afford a prolonged system unavailability. So, to safeguard your company’s reputation and keep your business moving, migration specialists conduct thorough testing. They ensure that your data is migrated during off-peak hours and that the transition is smooth.

3. Tailored and Cost-Effective Solutions

Without the right expertise, a data migration can result in hidden and unnecessary expenses. Unexpected issues and external technical support can quickly inflate your budget. 

A migration expert provides you with a detailed and strategized budget analysis for the migration process. From minimized downtime to ensuring a successful migration, consultants will provide cost-effective and tailored solutions. 

Their unique data migration services will save you from unnecessary expenses and potential setbacks. 

4. Mitigating Risks

No business would want lost productivity or unhappy customers. But that’s what a failed migration would mean. Data loss, corruption, security breaches, and so much more. Data migration consultants are experts in mitigating these risks. 

They perform risk assessments, develop contingency plans, address unforeseen issues and conduct comprehensive testing throughout the migration process. They ensure that any issues are pre-identified and resolved for a complete data migration success.

5. Performance and Scalability

The migration experts have access to the latest technology. They provide innovative solutions and ensure that your new systems perform better than your existing systems.

Moreover, they also ensure that your new system is scalable and flexible with your growing business needs. 

6. Business Transformation

Data migration can pull your key employees away from their primary focus. Your overall productivity could be affected when you attempt to handle in-house migrations. 

Successful data migration requires attention to detail, technical expertise, time and proper strategies, which is only possible with a data migration consultant. 

Data migration consulting services reduce your burden while you with overall business transformation. 

Key Considerations Before Hiring a Data Migration Consultant

No data migration consultant will provide you with one-size-fits-all data migration services.

Moreover, every business is unique, and so is their data. You wouldn’t benefit from a migration solution that caters to a business or organization with completely different needs.

So, what key considerations should you consider before hiring a data migration consultant, especially for your business? Dig into the points below.

1. Expertise, Knowledge and Experience

A data migration consultant should have knowledge and experience providing data migration services related to your industry and systems. 

You can ask for reference feedback and verify their expertise with other clients they have already served

2. Understanding of Your Unique Business Needs

Look for a consultant who understands your business processes thoroughly. The migration expert must also know about your data structure and migration goals. 

The consultant should be able to customize the data migration services according to your migration needs.

3. Technical Proficiency

The migration team should have a proficient knowledge of programming languages, such as SQL and Java. 

4. Data Security

Your migration consultants should help you encrypt your data, keeping it always secure. The data should be accessible only to authorized persons to reduce the overall risk of data breaches. 

5. Post-Migration Support

The role of a migration consultant does not end with a data migration completion. Your migration consultant should provide you with post-migration support as well.

So, before you hire one, inquire whether or not they provide post-migration services for troubleshooting, fine-tuning, and ongoing support.

6. Scalability

Data is growing at an exponential rate. But the good news is that so is your business. So look for a data migration expert who seamlessly helps your business scale. 

It is useless if a consultant cannot handle large datasets across platforms or help you scale your business with the growing advancements. 

7. Save Time and Money

Data migration services are costly, and there is no doubt about it. But the overall process should help you yield a good ROI (Return On Investment.) Your investments should not go to waste. 

Moreover, spending billable hours on unnecessary tasks makes no sense. Thus, your migration process should allow you and your team to focus on other crucial business tasks. 

8. Consistent and Reliable

Look for migration experts who provide pre-built protocols to help you keep your data consistent throughout the migration process. 

The data migration services should manage your data, identify and eliminate duplicates, and optimize the overall performance. 

9. Open to Communication

Clear updates and transparency are crucial if you are looking for a successful data migration.

Your consultant should be open to communication and collaborate with you or your team whenever required. 

10. Training

For long-term data migration success, the data consultants should provide comprehensive training to your team. This knowledge transfer helps you make urgent changes and manage your system more efficiently.

Ultimately, choosing a data migration expert depends completely on you and your business requirements. 

Conclusion

Are you searching for expert data migration consulting services? End your quest here with us at Augmented Systems. 

Our team of 70+ data migration experts is here to provide you with the best data migration services. Our expertise is unique, just like your business. Contact us today and focus all your efforts on reaching new business heights.

Categories
Blog Data Visualization

How Data Visualization Consultants Choose the Right Tools for a Project?

Ever delivered a data visualization that resulted in a series of misinterpretations or unmet client expectations? 

If you ever experienced something like this, you know how crucial the right tools are. 

Choosing the right data visualization tools can enhance or hinder your data’s impact. But, data visualization consultants always hit the mark with the right tools. 

How do they do it? No. It’s not just luck but a strategic approach involving consideration of project needs and tool capabilities.

Do you find it challenging, too? Read the blog post to learn how visualization experts choose the best tools for each project.

8 Steps for a Successful Tool Visualization Selection

Wondering how data visualization consultants ensure that every visualization is precise and impactful? How do they always select the right tools and lead to clearer insights? 

Here are 8 steps that data consultants use to choose a visualization that adheres to data visualization best practices and ensures that their projects bring successful outcomes. 

Step 1: Identifying the Requirements

Imagine taking a U-turn to reach your destination when you were supposed to take a left. Selecting a tool without understanding your client’s project needs is not just a misstep; it’s a potential disaster waiting to happen. It will only lead you off course.

That’s why a data visualization developer or consultant understands the stakeholders and their needs before selecting a tool. They focus on questions like-

  • What does the client aim to create?
  • Who is their target audience?
  • What is the purpose of the visualization?
  • Should it be an interactive dashboard for real-time analytics?
  • Are static reports sufficient for the stakeholders?

Different tools have different features, each catering to different and unique project needs. For instance, you cannot use tools like Bar charts and Line Diagrams to create interactive dashboards. 

Step 2: Understanding Data Complexity

With multiple data visualization tools available in the market, you have the option to select one of the best data visualization tools for your project. 

But why would you invest in a tool when you have straightforward data? Of course, complex data sets need intricate tools. To understand the sole purpose of your visualization, you need to first understand how complex your data is.

  • Do you need sophisticated analysis? 
  • Will the data need customization?
  • How can it be represented effectively to communicate the right information?
  • Can your data be summarized to reduce its complexity?
  • Is there any duplication of the data?
  • Do you need specific features in the tool to filter key data?
  • Will your data need interactive data visualization techniques?

Therefore, consultants first break down and understand the complexity of the data. Once they achieve a clear insight, they visualize the information without overloading themselves with data. 

Step 3: Focusing on Insights

What is the ultimate goal of data visualization? Transforming data into actionable insights using visuals. These insights tell stories, reveal trends and drive the decision-making process.

Data visualization consultants prioritize tools that effectively communicate these insights. Why? Because these visualization insights

  • Influences decision-making,
  • Effective storytelling captures attention,
  • Fosters buy-in and 
  • Helps identify trends, patterns, and anomalies.

Moreover, they try to avoid overwhelming the stakeholders with raw data. Scalability is also essential for future-proofing the entire project. The project will grow, as will the needs, such as data volumes, user loads and additional features.

Data visualization developers or consultants, thus, focus on insights before selecting a tool. 

Step 4: Evaluating the Right Tools

Selecting a technically capable tool is not rocket science. But does the selected tool ensure to align with the project needs? The tool you select directly impacts the effectiveness and quality of your project. 

Data visualization consultants evaluate the tools and their features before choosing the one that fits their project. Evaluation can be based on the following questions.

  • Is the tool customizable and allows modifications to the code (e.g., D3.js)? 
  • Is the tool template-based, user-friendly and has an intuitive user interface?
  • Can it connect with the client’s existing datasets?
  • How smoothly can the tool integrate with third-party applications?
  • Is it scalable and how will it perform if yes?

Many other similar questions and tool features are considered by consultants before making an informed decision. 

Pro Tip: If you are still unsure which tool best suits your needs, contact us for the best data visualization consulting services today.

Step 5: Iterating and Gathering Feedback 

You don’t want your audience to be bored, right? Most visualizations may have the right information. They would be perfect for your scalable projects. 

But what if the high-stakes visualization you created bores your audience? What if the visuals or data you present mislead the client? 

Thus, to make visualization more engaging and accessible, data visualization developers strategically transform static visuals into meaningful stories. They do so by continuously gathering feedback from the audience. 

Furthermore, the visualization developers

  • Drill down details and uncover insights that interest the client. 
  • Make the user experience more immersive with interactive dashboards. 
  • Personalize insights to allow users to explore areas of their relevance. 
  • Understand how different variables affect the trends and patterns. 

Because every client and every project is unique. A sales executive would want to access the data based on the region he covers, while a finance manager would focus more on budgetary trends. 

Step 6: Ensuring Data Accuracy and Integrity

What is the use of investing in a sophisticated, user-friendly, and best data visualization tool if the result is misleading and incorrect?

The accuracy and integrity of your visualization will not only instil confidence and trust in your client but also create a solid base for decision-making and saving money.

For the same reason, consultants:

  • Validate data sources by verifying the credibility and reliability of your data source. For instance, how the data was collected? When was it last updated? How frequently is it updated?
  • Next, they identify and rectify errors, remove duplicate datasets, handle outlines and standardize the format by performing data cleaning.
  • Quality checks such as data validation rules, consistency and similar quality checks are conducted.
  • Furthermore, outdated data leads to inaccuracy and missed opportunities. Thus, data visualization consultants ensure that they stay updated with the latest changes and trends. 

Thus, data visualization developers validate their data, stay updated, and clean their data before selecting the best data visualization tools for their projects. 

Step 7: Considering Cost and Licensing

Say you are a startup and approach a data visualization consultant to develop dashboards for your marketing strategy. 

Now imagine the consultant suggesting you a tool that costs more than your planned budget. Moreover, it also requires you to pay a separate fee for licensing. 

Will it be feasible for you? No. Here’s why, when selecting a data visualization tool, consultants weigh the cost and licensing structure of the tool. This ensures that the tool fits the:

  • Client’s budget needs,
  • Provides required features and
  • Is scalable.

Finding the right balance between all these factors is crucial for selecting the right tool. 

For instance, tools like Apache Superset offer robust functions without licensing costs, making them ideal for clients with tighter budgets. Tableau would be a perfect fit for you if you do not have financial constraints. 

Step 8: Maintaining the Brand Identity

How would you react to looking at a presentation with every slide looking different? It would be distracting and leave you confused. Inconsistent designs in data visualization can be just as jarring. 

The data visualization consultants ensure that the designs are professional, reinforce the client’s identity and engage the stakeholders as well as the audience.

How do they do it? The answer is by maintaining the brand identity.

  • The brand’s colors, fonts, tone, and everything is considered to reflect the brand identity. 
  • The entire visualization follows the same style and is consistent throughout.
  • While brand identity is the key, the main focus remains clear in the overall visualization.

The data visualization developers create captivating and cohesive visual narratives that empower organizations to make informed decisions while maintaining their identity.

A good data visualization consultant will not only possess technical proficiency or provide tailored solutions but also demonstrate a knack for storytelling through data and an understanding of user experience principles. 

Top 3 Data Visualization Tools: A Side-Side Comparison

Data is growing at a rapid rate. Every day, a staggering 402.74 million terabytes of data are generated. Businesses are still struggling to understand this data, caught in a maze of manual data entities, spreadsheets, and siloed data. 

With numerous data visualization tools in the market, it isn’t easy to find the best one. But why settle for less? 

So, to help you make a better and quick decision, here is a side-by-side comparison of the top 3 data visualization tools of 2024.

Feature

Microsoft Power BI

Tableau

Qlik Sense

What?

Allows users to collaborate with data and track their goals.

Allows users to analyze their data and share insights. 

This data visualization tool uses artificial intelligence (AI) to help use data more effectively.

G2 Rating

4.5/5

4.4/5

4.5/5

Software Integrations

Yes

Yes

Yes

Real-time Analysis

Yes

Yes

Yes

Free Trial 

Yes

Yes 

Yes

Deployment

Cloud, On-premise

Cloud, On-premise

Cloud, On-premise

Starting Price

$10 / user/month

$15 / user/month

$30 / user/month

Ease of Use

User-friendly and integrates with Microsoft products like Excel and Azure.

User-friendly and requires expertise with advanced features.

Higher customization is available. Steeper learning curve.

Data Visualization

Plenty of options, visually attractive but not as customizable as Tableau.

Advanced features and highly customizable

Strong visualization. AI-driven insights.

Security

Integrated with Microsoft security protocols

Needs additional investments in security measures

Advanced government and security features

Integration

Integrates seamlessly with Microsoft (Excel, Azure)

Integrates with various platforms, esp for cloud-based data. 

Integrates with different data sources and focuses on real-time data. 

These are some of the most crucial factors that you may consider before selecting a data visualization tool. However, selecting the right tool depends solely on your project needs. 

Conclusion

Don’t let the wrong tools define your identity. Make data-driven decisions and turn your raw data into compelling stories with Augmented Systems. 

Our experts will choose the right tools and give your data the impact it deserves. Our data visualization consulting services will make your data look good and give your business the competitive edge it deserves. 

Contact us today to make data work for you.

Categories
Blog Data Migration

How to Choose the Right Data Migration Strategy for Your Business?

Is your data also exceeding its storage space? Is it about to burst out of your current system like a digital bomb in a suitcase? Ever-expanding data and outdated storage systems are a headache for many. 

Businesses yearn to migrate to a new and modern system, but the array of data migration strategies in the current market leaves them puzzled concerning which is better.

Are you facing the same? Don’t worry, because we hear you. Dive into the blog to learn about different strategies and select the data migration strategy that best suits your business.

Ready to move out of the stuffed staircase? Dig in.

Why do Businesses Migrate their Data?

Are you okay with risking your data because you chose the wrong migration process? Data migration may seem like child’s play, but it isn’t. From losing your data to data breaches, you may face several data migration problems.

Migrating data from your legacy system to a new system requires meticulous planning, flawless execution, and expert management. But, most importantly it needs the right data migration strategy.

Apart from data growing at a compound annual growth rate of 19.2% by 2025, there are many other reasons why businesses opt for data migration, including:

  • Expansion, upgradation, and replacement of existing data storage systems
  • Outdated legacy data storage systems
  • Moving to the cloud to optimize business operations
  • Website consolidation
  • For infrastructure maintenance 
  • Moving to a centralized data warehouse
  • Relocation of data centers
  • For information sharing with other applications

Data migration has numerous benefits, but an unplanned and hasty migration can lead to many disruptions and failures. Your goal should be to accurately and efficiently migrate your data with utmost precision. Therefore, you need good data migration planning. 

Why do Businesses Need a Right Data Migration Strategy? 

Every business is different, and so is its data migration approach. You cannot expect it to be the same, right? Your preferences and need to migrate your data will differ from those of others. 

For Example

Say you hire a data migration consultant. They will need a complete 360-degree analysis of your data. But before that, you should be aware of the volume of data, its cost, potential downtime, and overall business impact. 

Therefore, understanding how data migration works for your business is essential. It is about knowing and assessing how much data will remain on your current or on-premise system versus how much data you will move to your new storage. (apart from many other aspects.)

You can make the process of selecting the right data migration strategy by asking yourself the following questions.

  • What is the size and type of data you are migrating?
  • What is your budget for the entire migration project?
  • What is the amount of downtime your business can tolerate?
  • Do you need to clean your data before migrating?
  • What security measures will be apt for your business?
  • Will your target system be compatible with your existing one?
  • What are the scalability options with your new systems?
  • What are your disaster recovery plans in case of data migration challenges?
  • Is there a data migration approach that you are considering?
  • What type of data migration strategy is best for your business?

All these questions will help you determine which data migration strategy is right for your business. Meanwhile, here are different data migration strategies to help you achieve a successful migration.

What are the Types of Data Migration Strategies?

Do you know around 83% of data migrations either fail or exceed their allotted budgets? You wouldn’t want your migration to be a ‘throwaway’ work, right? 

So, to not keep all your efforts to be bare minimum, we have a list of different migration strategies for you. Choose the best fit for your business data and avoid the hassle of last-minute challenges.

1. Big Band Data Migration

A big-band data migration approach involves transferring all your data from source to target in one go. You can complete a big-bang migration when you are not using the applications or your systems, such as over a holiday or weekend.

Before you opt for a big-bang data migration approach, remember that you may face a significant downtime. Your entire system will be down and unavailable until the migration is 100% done.

So, if you are moving vast amounts of data, Big Bang data migration is not for you.

Pros:

  • Less complex
  • Less costly
  • Less time consuming

Cons

  • Significant downtime
  • Risk of failure
  • Not ideal for big data

Use case

Best suited for small businesses or projects with small amounts of data

2. Trickly Data Migration

The trickle data migration approach involves migrating your data in phases. The migration will run parallel to your old system until it is complete.

In this data migration process, data is migrated in smaller chunks, each with its individual timeline, goals, and quality checks. This migration is ideal if you need access to your data 24/7, as there is nearly zero downtime. 

Pros:

  • Near to zero downtime 
  • Less prone to errors or failures 
  • Allows continues business operations

Cons:

  • Expensive
  • Time-consuming
  • Complex to manage
  • Longer migration period
  • Need resources and technical expertise to run two systems

Use Case:

Data migration is ideal for medium and small businesses. With proper technical expertise and resources, a trickle data migration approach can also be utilized for large business datasets. 

3. Hybrid Data Migration

If you want to strike a balance, hybrid data migration combines the elements of Big Bang data migration and trickle data migration. 

With hybrid data migration, you can migrate your critical data quickly while migrating less crucial data in phases. However, you must be ready to manage and integrate two environments simultaneously.

For businesses seeking a custom data migration solution, hybrid data migration puts you in control. With this strategy, you can confidently move your data, knowing that you have the power to manage the migration process according to your specific requirements.

Pros:

  • Flexibility 
  • Cost-effective
  • Minimizes the risk of downtime and data loss
  • Scalable
  • Ensure business continuity

Cons:

  • Needs robust security
  • Management overload 
  • Requires careful planning 
  • Potential latency issues
  • Compliance requirements both on-premises and cloud

Use Case: 

Businesses with complex and extensive data can control their migration process with a hybrid data migration approach. 

4. Cloud-Based Data Migration

A cloud-based data migration approach is a migration strategy for moving data from an existing storage system to a cloud storage system. It can also migrate data from one cloud storage to another.

Cloud-based data migration relies on various services and tools to streamline data transfer and enhance overall cloud management. This approach offers global businesses the advantage of accessing data remotely and fostering collaboration.

Moreover, cloud providers offer the benefits of advanced data analytics, AI, and machine learning tools. However, when using this data migration strategy, address security concerns and data governance issues.

Pros:

  • Scalable
  • Cost-effective
  • Global Access
  • Enhanced disaster recovery
  • Automatic data backups and redundancy
  • Automatic software updates

Cons:

  • Potential risk of data breaches
  • Risk of control over data security
  • Possible downtime during data migration
  • Potential latency issues
  • Dependability on the Internet

Use Case: 

Businesses seek to minimize capital investments while having the option to scale or require global data access. It is also suitable for modernizing their on-premise system for enhanced performance.

5. Business Process Data Migration

The business process data migration approach is migrating your business application and data to a new environment. The data focuses on customer, product or service, and operational information.

This migration strategy supports and enhances your existing business processes. However, it can be time-consuming and needs key business stakeholders or owners. 

With the business process data migration process, you can streamline your business processes by cleaning, organizing, and optimizing your data during migration.

Pros: 

  • Enhance existing business process
  • Minimizes downtime
  • Improved business efficiency
  • Improved data quality and accuracy 

Cons:

  • Complex
  • Time-consuming
  • High costs
  • Needs technical support and expertise

Use Case: 

It is useful for business mergers and acquisitions and businesses willing to enter new markets and remain competitive with growing businesses.

The data migration strategy you choose for your business should solely depend on your data needs and requirements. You can also hire data migration consultants or companies if you are unsure which strategy is best for you.

How Do You Execute the Best Data Migration?

What should you expect from a data migration? What are the risks involved? Are there any tools available? Is data migration a simple cut-and-paste? 

Reading all the above data migration strategies, you know that data migration is not simple. So, to make your data migration planning less superficial and more successful, here is a list of other key factors you should consider. 

1. Data Migration Best Practices

Make your data migration a breeze, but only with the right plan. Also, avoid costly headaches with these best practices.

  • Have a dedicated migration team with the right experts.
  • Use data migration as a chance to cleanse your data.
  • Migrate only necessary and high-quality data.
  • Know your data. Understand why you need to make the move.
  • Always backup your data before, during, and after migration
  • Rigorously test the entire process from planning to execution.

Bonus Tip: Only flip the switch on your old system when you know your migration is 100% successful. This way, you can roll back if anything goes wrong.

2. Data Migration Risks

Every coin has two sides. Similarly, data migration also comes with its pros and cons. There are several risks involved with data migration. 

However, you can navigate these hurdles with well-researched and strategic data migration solutions. A few risks that you should keep in mind before moving your data.

  • You may lose your data during migration. So, back up and plan your migration effectively. 
  • There are significant chances of long system downtime. Plan your migration in off-peak hours or on weekends. 
  • Data governance may pose serious risks to your business. Establish clear data governance policies and encrypt your data.
  • You may experience potential data breaches. Implement strict access control and continuously monitor the data migration process. 
  • It can break your budget. So, plan your finances.

Bonus Tip: Hire experts at Augmented Systems. 

3. Data Migration Tools

Depending on your business needs, there are three types of data migration tools. You may choose from on-premise, open-source, or cloud-based tools.

Examples:

  • On-Premise: IBM Infosphere, Oracle Data Service Integrator 
  • Open-Source: Apache Airflow, Talend Open Studio
  • Cloud-Based: Microsoft, AWS Migration Services, Fivetran

Conclusion

If you are rethinking migrating your business data, remember that data migration can be – large, complex, and costly. So, ensure you have everything in place before you make that move. 

Also, if you are looking for the best migration strategy, we offer data migration solutions to make your business and life easier. Get in touch today.

Categories
Blog Data Visualization

Ten Myths About Data Visualization

Data visualization is an essential practice for communicating complex information, but there are many misconceptions that can lead to ineffective representation of data.

In a world flooded with information, the ability to transform raw data into meaningful and actionable insights is critical. Visuals help distill complex datasets into something more digestible and engaging, making it easier for people to grasp key trends and patterns.

However, with the growing popularity of data visualization, various myths have emerged, leading people to believe that creating effective visuals is either overly simple or unnecessarily complicated.

Below, we debunk ten common myths about data visualization and offer insights into creating better, more effective representations.

Myth 1: “There is a ‘best way’ to visualize any dataset – regardless of the audience or purpose.”

There’s no such thing as a universally “best” way to visualize a dataset. There are many potentially good ways, but the best one depends on the intended audience and the purpose of the dashboard.

To design meaningful representation of data, it’s crucial to understand who the audience is and why they need to see the data. The goal shouldn’t be to find the perfect visualization but to create one that best serves the purpose of the representation.

Myth 2: “It’s possible to create completely unbiased, objective charts that ‘just show the data.’”

Every representation of data is shaped by numerous design decisions, all of which influence how the audience perceives the data. A chart is always an interpretation of the data, reflecting the choices of the designer.

Some choices, such as selecting appropriate scales or focusing on certain variables, might not introduce harmful bias but instead reflect good practice. Bias can also be reduced significantly by sticking to standards in the field while acknowledging that some level of interpretation is inevitable. The goal is transparency and minimizing misleading representation.

Myth 3: “It’s impossible to prove that one representation of data is better than another – it’s all just opinion.”

In theory, different visual designs can be tested and evaluated experimentally to determine which is more effective. Mastering the practice of data visualization involves making educated decisions about how an audience will respond to various designs.

This is not just a matter of opinion—chart designs can be optimized based on how well they communicate the intended message.

Myth 4: “The best way to get people to pay attention to a visualization is with slick graphic design.”

Not necessarily. In fact, flashy designs often make visualizations harder to interpret and less useful. The most effective way to engage an audience is by avoiding common pitfalls, such as overly complex designs or unclear data representation.

The most engaging visualizations are often visually simple and require no artistic flair to create. They minimize cognitive effort and make the information clear.

However, it’s also worth noting that some degree of aesthetic design can help engage users or make charts more memorable. The key is balancing aesthetics with clarity.

Myth 5: “If it looks good, it must be good.”

The visual appeal of visualizations has little to do with its usefulness. While it’s possible for charts to be both visually impressive and effective, this is rare and difficult to achieve.

The primary role of data representation is to convey information, and good design should prioritize clarity over aesthetics.

Myth 6: “Graphic designers, data analysts, or expert software users must be good at creating useful representations.”

Graphic designers may excel at creating visually appealing graphics but often lack training in how to communicate data effectively.

Data analysts and scientists are skilled at analyzing data but may struggle with translating those findings into clear visualizations. Similarly, being proficient in software tools like Excel, Tableau, or Power BI doesn’t guarantee the creation of effective charts.

Creating useful visualizations requires a blend of software expertise, data literacy, domain knowledge, creativity, and an understanding of the audience’s needs.

Myth 7: “The visualizations shown in data visualization software vendors’ marketing and training materials must be good, right?”

Not necessarily. Marketing materials from software vendors often include poor practices and ineffective visualizations. Take these materials with a grain of salt—what’s shown as an example of a tool’s capabilities isn’t always a model for best practices.

Myth 8: “Not knowing much about data visualization just makes you a beginner.”

Inadequate knowledge of data visualization doesn’t just label someone a beginner—it can lead to charts that result in poor decisions. These charts may misrepresent reality, fail to highlight key insights, or simply not be read because they require too much effort to interpret.

Myth 9: “Chart type selection is based entirely on the nature of the data.”

While the nature of the data (e.g., time series, categorical data, etc.) is an important factor in the selection of visual, it’s not the only one. The purpose of representation, the types of comparisons to be made, the patterns to highlight, and the audience’s ability to interpret graphs are all critical considerations.

The selection of visualization is a balance between the data’s characteristics and the specific goals of the visualization.

Myth 10: “If the data is complex, the representation must also be complex.”

It’s a common misconception that complex data requires equally complex visualizations. The opposite is often true. The goal of data visualization is to simplify and clarify complex information, not to overwhelm the audience with intricate designs. A clear, straightforward representation can often make even the most complicated data easy to understand.

Key Takeaways

When creating visualization, the goal should be to make them useful and aligned with their intended purpose. There is no single “best way” to visualize data for every audience; instead, design choices should be made with the chart’s purpose and audience in mind.

While no chart is entirely free of bias, transparency, and good practices can significantly reduce harmful distortions.

The nature of the data is crucial in visual selection, but audience and purpose fine-tune the design rather than entirely dictate it.

Many design decisions, including the selection of visuals, are influenced not just by the data itself but also by the chart’s specific goals and the needs of the audience.

Slick design isn’t inherently bad; it’s about balancing appeal with clarity and function.

Finally, being a graphic designer, data analyst, or software expert does not automatically make someone skilled at creating effective data visualizations.

Categories
Accounting Services Blog

Outsourcing vs. In-House Bookkeeping: What is Right for Your Business?

Bookkeeping. Tax Codes. Financial headaches.

Fluctuating inflation, a labor shortage, and ever-changing tax laws are enough to induce a business panic, aren’t they?

Now, amidst this chaos of running a business, simplifying your finances is crucial. So, either you dive into numbers and juggle, or hand the reins to the experts and grow. 

Not sure what to do? 

What’s best for your Australian business? Consider the pros and cons and learn which is best: in-house or outsourced bookkeeping services in Australia.

Let’s start.

What is In-House Bookkeeping? 

In-house bookkeeping is handling the accounting and finances of a business internally. Your in-house accountants handle all the financial operations for your business.

Let’s say you are a small business owner, trying to focus on your business growth and satisfying your customers. With just one in-house bookkeeper, you manage all the financial tasks internally. The bookkeeper is:

  • Tracking transactions
  • Managing accounts payable and receivable
  • Payroll accounting for businesses
  • Preparing and filing tax returns
  • Bookkeeping, 
  • Budgeting,
  • Forecasting ( and so much more.)

But is one single bookkeeper capable of taking care of all these responsibilities? Maybe not. Of course, you might prefer having the numbers to yourself, but isn’t it challenging? Yes, you are the captain of your financial ship, but at what cost?

Is hands-on control and easily available data worth the business mess? Curious to know more? Below are the benefits and drawbacks of in-house bookkeeping. 

In-House Bookkeeping: The Advantages

Every dollar counts when running a business. And bookkeepers ensure that every dime you earn or spend is accounted for. In-house bookkeeping offers a significant advantage when it comes to controlling, customizing, and securing your finances.

Your in-house team is always on the ball, providing you with immediate access to financial data and ensuring the highest level of data security, giving you peace of mind.

  • Do you have a question about financial transactions?
  • Need a quick financial report?
  • Have a unique financial idea?
  • Want all your data to stay within your four walls?

Your well-versed in-house bookkeeper is dedicated to understanding and meeting your specific needs and preferences, providing a personalized and adaptable service.

But what about the high costs regarding salaries or potential training expenses? What about the time you spend diving into numbers instead of focusing on your customers? What if you miss the latest changed tax law due to workload in other business areas?

Chaos! A Business Panic.

In-House Bookkeeping: The Disadvantages

Imagine giving your customer a rain check. Why? Because you were busy with time-consuming bookkeeping tasks, such as reporting and data entry.

Of course, it is crucial to stay on top of your company’s financial health, but putting off a customer will not yield dollars for your finances. However, 64% of owners manage their books! 

No wonder spreadsheets, debits, and credits seem straightforward. But then the question is, what keeps bookkeepers up all night? What about the messy back office, missing numbers, and missed customer meetings?

  • Financial burdens
  • Sky-high salaries
  • A constant fear of errors
  • Compliance headaches
  • Limited expertise
  • Ever-changing tax rules
  • Technological troubles
  • Distractions from core business goals
  • Hefty penalties on missed deadlines 

Are you ready to tackle all these challenges of in-house bookkeeping? Or would you rather focus on what you do best and let the experts handle your finances?

What is Outsourcing Financial Services?

Outsourcing financial services is the process of hiring a third party to handle various bookkeeping or accounting tasks. This helps you save valuable time to focus on other aspects of your business. 

Outsourced accounting firms handle diverse aspects of your business finances. The outsourced firm maintains ledgers, files taxes, and helps you plan your finances (apart from many other tasks.) 

But why would a business need outsourced accounting and bookkeeping services? 

Let’s say your business is growing with an international customer base. You start facing complex financial challenges and juggling between diverse tasks.

  • You have various income streams.
  • You are also deciphering international tax codes.
  • Staying on top of ever-changing accounting rules.
  • Managing customers. ( And several other tasks)

Even your most skilled in-house team is now overwhelmed. What do you do? You either hire an accounting consultant or look for outsourced bookkeeping services in Australia.

So, do you want to have confidence in your numbers and come out of messy cash flows? Let’s look at the pros and cons of outsourced accounting and bookkeeping services.

Outsourcing Financial Services: The Advantages

Yes, outsourcing accounting work in Australia has risks. But, then, why are businesses considering outsourcing from the very beginning? Why is accounting a leading job being outsourced by Australian startups? (A survey from 57% respondents)

The answer is simple. As businesses grow, their financial landscape transforms. As businesses scale up in size, revenue and finances become increasingly difficult to manage. 

Outsourced accounting firms help eliminate these challenges.

  • Saves Costs

Outsourcing your bookkeeping can save you money. It eliminates the need for hiring, training, and retaining employees.

  • Boosts Expertise

Outsourced accounting firms give you access to skilled professionals with expertise, knowledge, and experience. They have the latest accounting standards and tax law updates.

  • Scalable

Another advantage of outsourcing is business scalability. With outsourced accounting and bookkeeping services, you can scale up and down according to your business needs.

  • Focuses on Core Activities

Outsourcing gives you the time to manage core business activities. You won’t have to juggle multiple roles. Alleviate your burden of bookkeeping and concentrate on strategic growth and your customers.

  • Improved Accuracy

You can get precise financial data in real-time with outsourcing. Using tools, accounting software, and technological advancements makes money management simpler. 

Cloud-based platforms offer robust security and improved accuracy for your financial information, with professionals ensuring a reduced risk of errors.

  • Compliance and Risk Management

Outsourced bookkeeping services in Australia comply with Australian accounting standards and tax laws. The firms follow all compliance requirements and adhere to the guidelines of the Australian Taxation Office (ATO)

Outsourcing bookkeeping and accounting services offers a range of benefits, from improved accuracy to scalability and compliance. But every coin has two sides, and so does outsourcing.

Outsourcing Financial Services: The Disadvantages

As we stand on the brink of technological revolution, dramatic shifts and challenges in the financial sectors are going to ‘brain drain’ people. No one can stop these waves as experienced professionals retire and business models change. 

Moreover, by outsourcing your bookkeeping services, you may risk relinquishing control over your financial operations. Potential drawbacks include

  • Communication breakdowns, 
  • Delayed responses and 
  • Reduced flexibility. 

Additionally, overreliance on external providers and concerns about data security can further complicate your decision-making process.

But no matter what you opt for, accounting and bookkeeping services depend on carefully evaluating your business needs. It depends on your business size, financial resources and how scalable you want your business to be.

The Difference: In-House vs. Outsourcing

But, again, the question is, what is best for your business? 

So, let’s get right to the point. Below are the key differences between in-house bookkeeping and outsourced bookkeeping services in Australia.

Dig in.

Factor

In-House Bookkeeping 

Outsourced Bookkeeping 

Cost

Higher costs due to salaries and training.

Full-time salaries are often replaced by service fees. Hence, lower costs.

Control

Direct control over the entire finances.

Less control, as service providers manage your finances.

Scalability

Limited scalability.

Highly scalable with growing business needs.

Flexibility

Financial processes can be tailored to your business needs.

Less flexible. Often follows standardized processes.

Expertise

Limited to the skills of in-house team members.

Wide access to expertise, knowledge and skills.

Data Security

You have control over data security measures.

Reliant on the provider’s data security protocols.

Compliance

Regular and ongoing training to stay current on the latest regulations and tax laws.

Familiar with the latest rules and regulations.

Technology

You need to invest in the latest technology and management.

Most providers use the latest and most advanced technology and tools.

Focus

It may divert your focus from core activities.

You have more free time to focus on other business tasks. 

Responsiveness

Immediate access to your financial data. 

May experience potential delays.

Bookkeeping is not for everyone. So first, evaluate what’s right for you and your business. Enlist your priorities, and based on your business and available resources, choose the one that perfectly fits your business needs. 

Pro tip: If you are still unsure, feel free to contact accounting consultants or outsourced accounting firms, such as Augmented Systems.

Make the Right Choice for Your Business

You have a business to run. Invoices, customers, planning, strategies, employees—everything is stacking up. On top of all this, a single thought of paying taxes is enough to make you sweat. 

The good news? You have a choice—between in—house bookkeeping and outsourcing. But before you make the choice, you need to consider factors like:

  • The size and complexity of your business
  • Your budget and resources
  • Frequency of your transactions
  • Your growth plans, and 
  • Your desire to scale your business

Ask yourself what you expect in terms of your finances. Do you want lightning-fast financials? Or do you prioritize cost-efficiency and the ability to scale with an outsourced firm? Not sure? Below are some numbers for you.

Numbers for Your Numbers

You may be ready to handle seasonal spikes and rapid growth, making flexibility a top concern. Or is tight cash flow forcing you to make tough business decisions? 

No matter where finances are taking you, making the right decision is important.

So, let’s delve into some numbers to equip you with the confidence to make the best choice.

  • Global cloud accounting software is booming. The market, valued at $4.78 billion in 2023, is not set to hit $7.33 billion by 2030. It is growing at a steady 6.2% annually.
  • Tough time keeping up with the new rules. More than 50% of firms say that keeping up with the changing rules is their biggest challenge in accounting.
  • Not future-ready. According to a study by AICPA (American Institute of Certified Public Accountants), 92% of CPAs are not ready for the future. 
  • Increased Revenue. The market size of accounting services in Australia (2024-2029) has grown at a CAGR of 2.1% over the past 5 years. It is estimated to reach $33.0 billion in 2024.

Over the past decade, Accounting in Australia has grown rapidly. While bookkeeping is important, most businesses focus on running other core business operations.

So, no matter how you handle your books, find a system that works best for your business. The key is to keep your business thriving.

Conclusion

Have you found the solution to your bookkeeping challenge? Stop spending hours on tasks that can be automated. Put your energy into driving business decisions, gaining financial insights, and meeting business goals.

Need help? Let our professionals handle it for you. More than 200 clients have faith in us with their accounting needs, and you can, too. Stop thinking and start acting. Talk to our experts today.

Categories
Blog Data Migration

The Role of Data Migration in Digital Transformation: A Comprehensive Analysis

Nurturing digital transformation, but not sure what’s stumbling your growth? You have the numbers, all the crucial data, and the ambition to grow. Yet, something is holding you back.

Is it outdated systems? 

Is it data inconsistency?

Is it the fear of data loss?

Is it Data Migration? As difficult as it may seem, data migration is key to a successful digital transformation. It allows you to stay competitive, adapt to evolving markets and grow with your customers.

Want to know how?

Read the blog to discover how data migration services can be your step toward the next big digital phase. 

How is Data Shaping the Digital Transformation Landscape?

With innovation never taking a u-turn, businesses are obsessed with digital transformation. Every business worldwide wants to leverage the power of AI, big data and machine learning. 

Moreover, companies are pouring billions into building data lakes and moving to the cloud. However, these investments still fail to achieve their digital transformation goals because they overlook poor data quality.

So, how do you ensure that data defines your digital journey and becomes a strategic asset for your digital transformation? Here’s how:

  • Make Data-Driven Decisions: Data and digital transformation go hand in hand. Make data-driven digital transformations. 
  • Data for Innovation: Leverage data analytics to be at the forefront of innovations.
  • Data-Driven Customer Experience: Understand your customers with data. Satisfy their diverse expectations by building data-driven digital solutions. 
  • Business Process Automation with Data: Let data help you identify the right task to automate. Data also help you adapt to the learning curve of the new automated systems. 

So, to thrive in the digital era, prioritizing data transformation over digital transformation is crucial. Data transformation serves as the foundation for your digital transformation. Therefore, meticulously migrate your data with seamless data migration services.

Role of Data Migration Services in Digital Transformation

Want to reap digital transformation benefits to the fullest? Then, make data your biggest asset. Data Management, Utilization, and Migration lie at the heart of digital transformation. 

But for many, data migration is merely ‘lifting and shifting’ their data from one place to another. Here, data becomes the sole reason for data loss, corruption, or project failures.

So, do you want to nurture digital transformation for long-term success? Then, comprehend the true meaning of data migration services and their role in transforming your digital journey. 

What is Data Migration?

Data migration is a process of seamlessly moving or transferring data from one place to another. It usually involves migrating data from legacy systems to new, modern systems. Moving data to the cloud is one such example of data migration. 

Moving from in-house or private data centers to a public cloud platform includes the following steps:

  • Data migration planning and assessing
  • Backing up your data
  • Choosing the right migration techniques
  • Preparing the new data environment
  • Performing the migration
  • Data migration testing and optimizing 

However, before you hit the ‘migration’ button, it is crucial to have a data migration strategy. Data migration should feel like magic. But how does data migration play a key role in digital transformation? 

Let’s have a look.

Why do You need Data Migration for Digital Transformation?

Data migration is the pillar of data transformation. Whether you are building the next generation of robots or simply updating your sales reports, you need data. Legacy systems and siloed data are the relics of the past and won’t support your digital future.

You wouldn’t want to base your digital future on a shaky foundation? Right? You need data migration for a data-driven future for the same reasons. Here are a few key drivers of data migration in digital transformation: 

1. Cloud Adoption

Businesses are rapidly adopting cloud-based infrastructures and modernizing their outdated on-premise or legacy systems. Thus, a safe data migration ensures that your data is transferred seamlessly to the cloud, giving you unrivaled flexibility, scalability and cost-efficiency.

2. Legacy System Upgrade

Outdated legacy systems pose hurdles to modernizing businesses. Their limited capabilities and obsolete infrastructure prevent businesses from adopting new digital tools. Thus, you need data migration services to gain valuable insights from your data, which can lead to successful digital transformation.

3. Business Expansions and Mergers

Businesses expanding into new markets or undergoing mergers often combine data from different systems. Moving data into a single format makes it easier for them to make informed decisions and run their businesses smoothly.

4. Compliance and Data Governance 

Regulatory requirements and data privacy need proper data management practices. Data migration ensures secure data transfer, reducing risks like data breaches and non-compliance penalties.

The benefits of data migration for digital transformation are many, from migrating customer data to CRM to modernizing core business processes with ERP systems. It serves as a blueprint for digital success for industries worldwide.

What are Digital Transformation Benefits?

Want to reshape the way your business operates? Then, leverage the benefits of digital transformation. Save costs and increase your overall productivity, apart from many other digital transformation benefits. 

Do you know that global digital transformation spending is estimated to reach $3.9 trillion by 2027? So ready to transform your business with digital transformation? Dig in to read the top 5 digital transformation benefits.

1. Improved Business Processes

Digital transformation helps boost business performance by automating repetitive tasks, optimizing workflows and integrating advanced technologies like AI. This leads to:

  • Faster and more accurate decision-making
  • Improved collaborations
  • Better resource management
  • Better communications
  • Seamless customer interactions
  • Reduced human errors
  • Informed-decision making
  • Increased productivity
  • Cost savings

Thus, digital transformation helps you develop a more agile, responsive, customer-centric business model, ultimately thriving your business in dynamic markets.

2. Better Productivity

Digital transformations speed up processes and streamline operations, thus providing you with increased efficiency and productivity.

Breakthrough technologies, like robotic process automation and AI, outperform human skills in speed and accuracy. Processes like data processing and analysis collect and analyze data in ways that far exceed human capabilities.

Thus, advanced technologies empower workers to make faster and more informed decisions. 

Moreover, a McKinsey report predicts that more than 50% of current tasks could be automated by 2060. And by 2040, Generative AI could increase annual labor productivity from 0.1% to 0.6%.

3. Constant Communication

Instant messaging and chatbots enable real-time communication across global teams and customers. Digital transformation enhances information sharing and project collaborations by breaking down geographical barriers.

Moreover, CRM (Customer relationship management) platforms and social media give a personal touch to your customers. Transparent communication fosters an informed and engaged workforce, leading to better decision-making and stronger business relationships.

4. Enhanced Customer Expectations

With digital transformations, your customers get personalized, efficient, and seamless experiences.

  • Advanced analytics and AI help businesses analyze and predict their customers’ needs. 
  • Mobile applications and chatbots provide 24/7 and 365-day support to all the customers on the go.
  • You can track all your customer data in real-time and effortlessly provide solutions. 

This stress-free process, resulting from digital transformation, creates a responsive and customer-centric model, raising the standard of your service and fostering loyalty.

5. Security

With increasing digitization, the number of cyberattacks has increased equally. However, digital transformation helps enhance cybersecurity measures with advanced technologies.

  • Automated security tools identify and mitigate potential threats, such as AI-driven threat detections and response systems.
  • Cloud-based security solutions offer robust, scalable protection and constant updates against malicious activities.
  • Enhanced encryption, multi-factor authentications, and secure access controls safeguard your sensitive information.
  • Real-time monitoring allows immediate action on suspicious activities.
  • Comprehensive security frameworks and regular audits ensure industry-standard compliance.

Thus, digital transformations reduce the risk of security breaches, helping you maintain trust in digital infrastructure.

Conclusion

So, data migration is essential for successful digital transformations, serving as the cornerstone of your digital future. 

Looking to boost your ROI, optimize processes, and transition into a digital powerhouse? Get in touch with Augmented Systems. We won’t break the bank but provide cost-effective data migration solutions.

Categories
Blog Data Visualization

10 Best Practices for Data Visualization: Turning Data into Insight

Have a map to hunt your treasure but not sure how to read it? Poor data visualization can make you feel the same way —clueless! You have the numbers but zero insights into your data. 

Data can be a mess, but it’s the shortcomings of your design that make it meaningless. Data visualization is about leaving an impact—one that is so effective that people understand it at first glance. 

So, if you don’t want to miss the mark with your data visualization, we have hand-picked the top 10 best practices for data visualization

Ready to create visualizations that leave an impression? Let’s get started. 

What is Data Visualization Software?

Data is universal and growing rapidly. Data’s true meaning lies in how you present it to the world. People are drawn to beauty, and data visualization is important for making your data beautiful.

But the real question is, how do you make your data appealing to your audience?

What is Data Visualization?

Data visualization is an effective way to transform data into visuals. Visualizing your data makes complex data easier to understand. Moreover, it assists in making crucial business decisions by analyzing trends and giving meaningful insights.

And how do you do that? By leveraging the right tools and following the best practices.

What is Data Visualization Software?

Data visualization software is a tool for creating stories to provide meaningful insights with data. It can help you present sales figures to your teams, analyze trends in your project or make data-driven decisions for your business.

There are several tools available in the market that can help you in creating visualizations. Using these tools, you can easily present the big picture of your data to your audience. The most common visualization tools include:

  • Tableau
  • Power BI
  • Google Data Studio
  • QlikView
  • D3.js (Apart from many others)

From monitoring everyday operations and mitigating risks to simply finding new ways to grow your business, data visualization is one of the best ways to give meaning to your data. 

If you are unsure about utilizing these tools, you can either hire data visualization specialists or follow the latest trends in data visualization

When and Why to Use Data Visualization?

Data visualization, as easy as it may seem, is not a cup of tea for everyone. You cannot simply put your data into charts and graphs to present it. You must know when, why and how to present your data so that it’s not misleading.

Why Data Visualization?

So, let’s first talk about the amount of data generated each year. Or perhaps each day? 

Approximately 402.74 million terabytes of data are generated daily. Shocking? No! As the technological world grows, the data is also growing exponentially. By 2025, it is projected to grow over 180 zettabytes. 

Now imagine comprehending all this data! It is indeed difficult, time-consuming and stressful. So, to manage all this data, you need data visualization.

When is Data Visualization Useful?

Whether you are a business owner, a scientist, or a financial analyst, large and complex datasets are difficult to understand. From saving time to monitoring KPIs (Key Performance Indicators), data visualization is your go-to tool. 

Thus, it is worth spending on data visualization tools to understand the worth of your data. So start with knowing your data and understanding the elements of data visualization.

But for now, we have 10 best data visualization practices to help you make the most of your data.

Top 10 Data Visualization Practices 

Numbers + Visuals + Story = Data Visualization. Mere ‘Data’ is a cluster of numbers. Aesthetic visuals without visualization are just drawings. A story without visuals and numbers is a fairytale.

Data visualization is simply lines, curves and tables without displaying your data well or knowing where to start. Poor visualization is a big no! 

So, here are 10 best practices for data visualization, which can help you create useful, aesthetically pleasing visualizations that can be stepping stones for your business growth.

1. Defining a Purpose

Figuring out what your data means is one thing, but spending endless hours creating unnecessary visuals is like throwing yourself under the bus. Your visualization should be strategic. It should define a purpose and provide real value to your data. 

Ask these questions if you are unsure about defining the objective for your visualization.

  • What insights do you aim to achieve?
  • Who is your audience?
  • What key questions are you addressing?
  • What data do you want to visualize and how?
  • What trends and patterns do you want to highlight?
  • How will you measure the success of your visualization?
  • What data level is easy to comprehend for your audience?
  • How will it benefit you, your audience and your organization?

At the onset of you starting your visualization journey, take the time to cleary define your goals and priorities of your visualization. Think about the result and how it will impact the entire process.

2. Understanding the Audience

The cornerstone of effective data visualization is knowing your audience and grasping their requirements. Every detail counts, from knowing your audience’s needs to choosing their color scheme. 

Moreover, visualizations also depend on the type of audience you are presenting your data to. Is it the executives of a company, a sales team or the general public? You can ask yourself the following questions to execute the most insightful visualization.

  • Who you are trying to reach?
  • What is the data literacy of your stakeholders?
  • What information does your audience need?
  • What kind of decision does the user want to make?
  • What background context do they need?

Understand your audience before you begin the process and tailor your visualizations based on their needs. The more detailed your answers are, the better you understand your audience and create intuitive visualizations.

3. Selecting the Right Visualization

Data is no longer crucial only for data professionals. It serves as the key element of all decisions. 

Thus, your choice of visualization can affect how your audience receives your data. So, to avoid confusing or misguiding your audience with the wrong visualizations, ask yourself the following questions.

  • What is the type of data you are working with?
  • Which visualization highlights the data’s key points?
  • How can you simplify your complex data for clarity?
  • What trends or insights do you need to emphasize?
  • What type of relationship do you want to present?
  • What tools or techniques will support your visualization needs?

Data helps you make all your daily operational decisions essential to your business transformations. So, ensure that you select the right visualizations for your data.

4. Simplifying the Data

Your data grows as your organization grows. Data becomes increasingly complex with time, and understanding complex datasets is like searching for a needle in a haystack.

By using multiple layers or charts, you can present intricate information in a way that empowers your audience to grasp everything. If you’re unsure how to simplify your complex datasets, consider the following questions. 

  • How can you summarize the data to reduce complexity?
  • What data is unnecessary or duplicated?
  • How can you convert the data into simpler chunks?
  • What filters can you use to focus on key data?

Thus, break down your complex datasets into manageable and digestible segments. This will allow you to visualize the information better without overloading it. 

5. Choosing Relevant Data Points

Your content needs to be snackable. Complex visualization leads to the creation of distracting dashboards. So, include only the most relevant data points. The data points should:

  • Support the narrative
  • Temp the audience and 
  • Save time.

Here is an example of complex vs. simple visualization. 

Do not overload your audience with all the information with unnecessary data points. Plan your visualizations and then present them to the relevant audience.

6. Keeping it Simple

Look at the chart below. It is confusing and not easy to comprehend. The chart communicates the data but overwhelms readers, who cannot make quick decisions or gain insights. Hence, keep your visualizations simple. 

If you feel every data point is crucial, ask the following questions to make it simple, unique, and presentable. 

  • What are the most important data points?
  • How can you summarize the data to make it less complex?
  • What unnecessary details can you exclude?
  • What visual aids can you use to make it more understandable? 
  • How can you break big datasets?
  • Can you group similar datasets?

Less is always more, so understand the needs of your end users. If your charts are complex, educate your audience about the available data points. 

7. Making it Interactive

Today’s users expect interactions. They do not just want pretty visuals; they expect to engage with your data. Interactive visualizations are important, whether your visualization is about tracking fitness progress or providing a weather forecast.

So, how do you make interactive visualizations? Below are a few points to help you make the most appropriate visualization.

  • Select the right tools and techniques.
  • Look for software that offers a range of features.
  • Structure, clean and prepare your data
  • Select the type of visualization that fits your design and data needs
  • Add interactive elements, such as filters and tooltips 

Interactive visualization suits the user’s needs, boosts engagement and overall productivity, and helps simplify complex data. 

8. Telling a Story

What is the unique value of using data to tell a story? Data storytelling transcends mere numbers when it comes to engaging your audience. It’s the key to unveiling the underlying narrative that informs and persuades your audience.

The benefits of telling a story with your data are many, some of them include:

  • Helps make informed decisions based on your data
  • Gives access to relevant data at the right time
  • You can make data-driven decisions.
  • Prevents confusion

So, be clear about who your data story is for. The story should align with the frequency of your decision-making. Moreover, the data must align the themes with the colors, fonts and logo to meet your business’s guidelines. 

9. Customizing for Personalized Experience

Imagine a store with products tailored only to your needs and preferences. Wouldn’t you connect more with the store? Similarly, the audience connects more with personalized visuals. So make your visualizations that interest your audience and their requirements.

To understand your audience, ask yourself the following questions:

  • Who are the users, and what are their preferences?
  • What color palettes and themes resonated with your audience?
  • What interests your users, and how can you incorporate that into your designs?
  • What interactive features will benefit your audience?
  • How can you provide easy access to top data?

Therefore, make the most creative and appealing visuals customized for a personalized experience.

10. Ensuring Accuracy and Integrity

Maintaining data accuracy and integrity is vital in data visualization. So double-check your source, clean your data, and verify your visuals for accurate reports.

To accurately represent your data, here are some questions that can help you.

  • How will you verify the accuracy of your data source?
  • What steps will you take to clean and pre-process your data?
  • How will you handle missing or incomplete data?
  • What methods will you use to validate data accuracy?
  • What quality measures will you take to detect errors and correct them?

Addressing these questions, you can enhance the accuracy and integrity of your data visualizations. 

Conclusion

Want to create impactful visualizations and stay ahead of the curve? Then, focus on visualizations that aren’t just fancy but also give meaning to your data with the designs.

Not sure where to start? Let Augmented Systems’s data visualization specialists help you, similar to the countless businesses we helped transform. To drive growth and success, contact us today.

Categories
Blog Data Migration

How Can Data Migration Services Company Help Upgrade Legacy Systems?

Are you still relying on your outdated systems? Are they costing you more than they should?

For many, outdated systems, once cutting-edge technology, have now become a costly burden. Security vulnerabilities and high maintenance costs are just the beginning.

Moreover, legacy systems are like addictions; you know you need to change, but you’re unsure how. 

Well, you don’t have to navigate through these digital shackles alone. Consult a data migration services company and navigate toward upgrading your legacy systems.

Ready? Let’s get started.

What are Legacy Systems?

A legacy system is an outdated computing system, software or hardware that businesses and organizations continue to use. It uses older technologies that prevent it from interfacing with newer systems. These systems include:

  • Computer hardware
  • Software applications
  • Files and formats
  • Programming Languages

Example of a Legacy System

The mainframe computer is one of the best examples of legacy systems. It was once the backbone of computing. Although it was one of the most reliable and secure systems, it lacked scalability and a user-friendly interface. 

However, many banks and government agencies still rely on it for specific tasks. While these systems are the foundation for technologies, their limitations cannot be ignored. Here is when legacy data migration becomes crucial. 

Let’s understand what that is and explore it in detail.

What is Legacy Data Migration?

As the name suggests, legacy data migration is migrating your data and files from an older, outdated or legacy system to a more modern (new) system, such as the cloud.

For Example,

A business or institution decides to migrate its entire database from a mainframe computer (which they have been using for years) to a more modern platform. The datasets that can be migrated from one system to another may include:

  • Customer records
  • Financial information or data
  • Product or service information
  • Historical data/ archives

More modernizing solutions help boost business performance and help businesses work more efficiently. However, many enterprises are still clinging to using these old systems despite many challenges.

Let’s see how these legacy systems are not apt for today’s businesses. 

How are Legacy Systems Harming Your Business?

Is your data exploding at an alarming rate? Are you able to handle all your business processes with agility and efficiency? Are your employees still stuck with spreadsheets to update everyday data?

If yes, then it’s high time for a change! Legacy systems are hindering your business and slowing you down in the rat race of the growing business landscape. 

How?

1. Costly

How much do you spend on maintaining your legacy systems? Did you know that outdated systems can increase your maintenance costs by nearly 15% annually? 

It is true that opting for legacy application migration may cost a little, but the hard truth is that the cost of your outdated systems can be more staggering as they age. So, the earlier you make the switch, the better. 

2. Time-Consuming 

Legacy systems become like a tangled mess of weeds over time. As your system and data become more complex, an added layer of complexity messes up the entire system. 

Maintaining, updating, and using the data and information through these systems becomes a nightmare. It is time-consuming, potentially risky, and difficult for a growing organization.

3. Risky

As technologies modernize, so do hackers and cybercriminals. Your legacy system with the security of the ‘bygone era’ is heaven for cyber criminals in this era.

Thus, you are opening gates for data breaches, financial losses, and reputational damage with these outdated systems.

4. Scalability

Do you think your legacy system can adapt to the changing market demands? Even if it can, these outdated systems will lead to performance degradation and discrepancies between different systems.

Moreover, outdated coding architecture of legacy systems leads to frequent errors, bugs and glitches. Surely a headache for your IT team and a loss to your overall business.

The rise of Industry 4.0 has led businesses to shift to more adaptable, agile and modern solutions. Whether leveraging artificial intelligence or legacy application migration, businesses are updating their infrastructure with the modern world. And so should you.

Why Should Your Business Migrate?

With all the above limitations in mind, are you left wondering if you can overcome these challenges? If not, here are some stats that would make you. 

  • More than 50% of surveyed companies listed increased security and improved efficiency as their main drivers for modernizing their legacy applications and data in 2023.
  • Globally big data market is expected to expand to $103 billion by 2027.
  • Businesses lose $85 billion repairing technical issues caused by faulty code,  sometimes well-written but deemed legacy.
  • Organizations with the highest percentage of cloud apps saw the greatest income gain from new goods. Their change percentage was roughly 41%.
  • According to Accenture, migrating to the public cloud can cut your Total Cost of Ownership (TCO) by up to 40%.

With the digital revolution, the risks of using outdated systems are beyond regular updates and buffering wheels. Slow legacy systems lack the latest compliance requirements, are costly and are limited to experts in legacy programming languages, such as COBOL.

Therefore, migrating to a more complex and up-to-date system is a boom to your business. So, are you ready to migrate with the thriving data migration market of around $10.9 billion? 

Not sure how? Read below.  

How Can a Data Migration Service Help?

Data migration, though a groundbreaking escape to legacy systems, comes with its own set of challenges. Data migration needs to be a strategic move as most parts of it are tricky. With difficulties such as downtime and data breaches, data migration planning is of utmost importance. 

And to help you do so, data migration services companies or migration experts can help. The experts guide you through the entire migration to ensure a smooth and secure transition in two ways. 

1. Help Perform the Necessities of Legacy Data Migration

Nobody wants to leave their valuable data behind. Imagine post-migration, your employee comes running and says, “Sorry for the delay, but we forgot to load the files for 10 customers.” 

Difficult to even imagine, indeed. 

Data migration is not a simple ‘copy-paste’ or ‘export-import’ task, which is why data migration services companies help make the process a breeze. They first perform the following 4 tasks for the legacy data migration.

  • Completing a Data Audit

It’s like cleaning your home before you move to a new place. The experts help eliminate existing errors, inconsistencies, and duplicates in your data. A data audit ensures that you migrate only the most crucial data. Data cleaning saves time and resources and streamlines the process.

  • Ensuring Data Security

Professionals ensure that your data is moved with utmost security. They use security protocols and best security practices, such as access control. 

Moreover, they backup your entire datasets before the move. Backing up your data is crucial because data migration is vulnerable to data loss and discrepancies. 

  • Making Realistic Estimates

Data migration is easier said than done. It has to be a well-thought-out plan, considering all its challenges and then making realistic estimates. 

Experts ensure that they take care of time, money and resources before a migration move.

  • Establishing the Process

Legacy data migration isn’t just a move, it’s more about laying the groundwork. Before you make the switch, the experts help you understand about the entire migration process. 

Moreover, they are equipped with the right tools and expertise and have clear goals in mind to make your migration a success. 

Once the stage is set, the experts move to the next step, which is performing data migration. As simple as it may sound, actually making the big move also requires certain planning.

2. Help Perform Data Migration

The data migration services company helps you from facing the headwinds of data loss, downtime, and other migration difficulties. Here’s how they do it.

  • Create a Data Migration Strategy 

The experts first make a plan. They use data migration solutions to strategize each step of the process. Each step is micro-managed with questions such as:

  1. What should be done?
  2. What system will be covered?
  3. What aspects of the business will be affected?
  4. Which system or tools should be used for migration? and many more.

Every step of the migration depends on business to business. Based on individual business requirements, the experts plan their data migration strategy

  • Perform Data Backup

There is no guarantee to anything when it comes to data migration. Even the most expert team may encounter unexpected turns during the move. 

Thus, to avoid mishaps, such as missing data or data duplication, data back-ups are performed by the professionals before the move. 

  • Prepare the Environment

Imagine moving to a data dump. What if you make the move but the system isn’t up and running? What if the new system isn’t apt enough to handle all your legacy data?

Data migration experts help you choose the right tool or system that best suits your data and business requirements. They won’t let you settle for less and ensure that the new system is prepared before the move.

  • Test the Process

Before hitting the big migration button, the experts will perform a mini-migration. Think of it like a test drive before you buy a new car. They help identify all the potential errors and make sure that nothing is missed before the migration. 

Moreover, they will get rid of all the bottlenecks, if any. This will prevent major migration headaches, such as downtime and data loss. 

  • Migrate the Data

This is where all the execution happens. You sit back and relax, while the team of experts perform the migration for you. 

They closely monitor the entire process, keep clear communications, and inform stakeholders about disruptions if any. Finally they check the new system for safe, secure, and complete data.

  • Monitor the System post-migration

Finally, the legacy data migration you have been waiting for years is now complete. But, that’s not all. The experts are going to perform regular data audits. They review, monitor, and send feedback at regular intervals.

Seems a lot? Maybe? Maybe not! But the good news is that you don’t have to actually do any of that. A data migration services company can handle all of this for you. 

So why wait?

Hire Experts Today

You might feel stuck between moving to the modern techs and departing from your year old legacy systems (which you and your team are used to now.)

But, change is the only constant. And for the same reasons you should consider moving from your outdated systems to a new one. We at Augmented Systems are there to help you at every stage of it. Feel free to contact us today.

Categories
Accounting Services Blog

Role of Technology in Modern Accounting Consulting

Are your on-premise accounting solutions clunky? Are your accounting consultants struggling to keep up with the growing business demands?

The world of accounting is indeed shifting super fast. Automated processes are replacing repeated manual tasks of accounting (apart from many other benefits.)

But the question is how to adapt these advanced technologies without making this transitional change a struggle.

Dig into the blog to see how technology can make accounting a value-added strategy for your business rather than just being a ‘process.’

What is Modern-Day Accounting? How is it Different from Conventional Accounting?

Modern accounting is a combination of conventional accounting systems and new-age technologies. Modern accounting solutions use technology and software to automate processes, reducing the need for manual execution.

While traditionally ‘slow’ and  ‘hesitant’ to embrace new technologies, business accounting services are now on the cusp of a transformative era, ready to harness the potential of these innovations.  

For Example:

Businesses still relying on manual notes and spreadsheet-based accounting solutions for expense management will:

  • Collect receipts and separate them 
  • Manually enters the expenses into spreadsheets with details of vendors, date, amount and more.
  • Finally, reconcile them with bank statements and other financial statements. 

This traditional method of accounting when replaced with modern-day accounting software looks something like this:

  • Automated collection of receipts with smart or app-based technology
  • Extraction and categorization of expenses automatically
  • Real-time expense tracking and faster reimbursements
  • Elimination of reconciliation with integrated modern accounting solutions

This paper-based system when altered with modern accounting brings more efficiency, accuracy and transparency. But is this all? Is this the only transformation technology brings to business accounting services? 

Of course not. There is so much more. 

How is Modern-Day Accounting Different from Conventional Accounting?

Traditional accounting involves sorting infinite accounting files and manually recording expenses in ledgers. Today’s technology digitizes bookkeeping and automates tiresome accounting chores.

These changes have impacted various aspects of accounting. Let’s have a look at a few differences in the table below:

Factor

Conventional Accounting

Modern-Day Accounting

Data Entry and Storage

Manual bookkeeping and paper files

Automated data entry and cloud-based storage

Accessibility

Limited to physical accessibility

Accessible anytime and anywhere

Accuracy

Risks of human errors

Reduced errors with automation

Speed

Time-consuming 

Fast processing

Costs

High operational costs, such as paper, storage, labor

Lower costs with automation and digitization

Scalability

Limited scalability

Scalable with cloud solutions

Security and Regulatory Compliance

Locks, cabinets, and safes with manual compliance checks

Digital security measures, like encryption and access control. Automated compliance monitoring and reporting

Data Analysis

Basic analysis of finances

Advanced data analytics with AI and Big data

Customer Interactions

Face-to-face or on the phone

Digital Interactions

Adaptation

Longer learning curve because of manual processes

Ongoing curve with evolving technologies

The benefits of technology in accounting are changing the landscape. Modern accounting solutions are replacing conventional paper ledgers and books, and accounting consultants are no longer spending endless hours wearing green eyeshades. 

But what are these technologies that are converting the once-so-called boring profession into a dynamic and fast-paced success model? 

10 Technologies Disrupting Modern-Day Accounting

Gone are the days of heavy ledger books and calculators. Modern accounting solutions no longer keep accounting consultants or chartered accountants up at night. 

Modern-day accounting has effectively mitigated the risks of non-compliance with tax laws and procedural errors, making them the ‘nightmares of the past.’

How? Below are the top 10 technologies altering modern accounting.

1. Artificial Intelligence (AI)

AI tools can be custom-trained with financial data to streamline financing. AI mimics human intelligence to make financial decisions and enhance the accounting process. 

AI in accounting is helping businesses make better financial decisions. Did you know? AI in marketing is estimated to reach $4.791 billion in 2024, expanding at a CAGR of 48.4%. The benefits of AI-powered tools in accounting are many.

  • Reduces time and effort by automating data entry and processing tasks
  • Identifies anomalies by detecting fraudulent activities
  • Enhances the abilities of accounting consultants to provide actionable insights
  • AI analysis of customer data to offer tailored recommendations

Thus get a better edge over your competitors by harnessing the power of AI in your accounting firm. 

2. Machine Learning (ML)

ML is a part of AI that uses statistics and data to predict trends and patterns. It utilizes algorithms to analyze big datasets, a job that would take humans ages. 

You can swiftly process millions of financial invoices and transactions in real time with machine learning. This lets you make more accurate financial reporting.

Moreover, machine learning algorithms continuously learn and improve with time. Continuous learning helps ML algorithms detect fraud in financial statements.

ML can also help you analyze historical financial data, providing accurate financial forecasts. Moreover, it can identify potential risks for your business.

3. Automation

Accounting automation is software that allows businesses to automate their accounting tasks using automation. Therefore, helping accountants, bookkeepers, auditors and businesses:

  • Save time
  • Reduce cost
  • Eliminate human errors
  • Increase productivity
  • Foster collaboration
  • Enhance efficiency

Automation is transforming accounting, modernizing and minimizing human intervention and helping firms execute tasks flawlessly. 

4. Big Data

Big data indicates the massive data collected by businesses from various locations and sources. Big data plays a huge role in financial information and data processing.

  • It can analyze transactions
  • Detect anomalies
  • Foster deeper connections between customers, employees and vendors
  • Predict future financial implications
  • Provide valuable insights and recommendations

Today big data is the new power tool for accounting. It analyzes massive datasets to predict trends, spot risks and make strategic business decisions.

5. Robotics Process Automation

RPA is a type of business process automation that uses software robots and AI to imitate human actions. Robotic accounting is a type of RPA that uses robotic software to reduce human labor.

With the advent of RPA, the customer support landscape is significantly changing. Customers now interact with chatbots, consult FAQs, and provide feedback through RPA. 

This technology is revolutionizing how financial firms and businesses manage everyday tasks such as invoice processing and data entry.

6. Data Analytics

Data analytics helps process raw data to find trends and gain insights. It’s like traveling to the future to access valuable financial insights for your business. (It may not be as accurate as going to the future, but it is the next best thing for accounting.)

You can harness the power of analytics to:

  • Improve investment decisions
  • Optimize cash flow
  • Identify cost savings opportunities
  • Develop strategic growth plans

Thus with data analytics, accountants can identify patterns, monitor financial health and make future predictions. 

7. Data Security

Invest more to save more. Did you know organizations save approximately $1.76 million when using security AI and automation compared to organizations that don’t?

Businesses are investing in encryption, backup recovery and similar data security solutions to protect their data from hacking, data theft, phishing, and other threats.

A proactive approach to cybersecurity is ‘security by design.’ It means that the software products have already been designed to be fundamentally secure.

8. Block Chain

Blockchain is a type of digital ledger that stores data in blocks that are connected to each other. Cryptocurrency, Bitcoin is a type of blockchain that ensures transparency, integrity, and accuracy of transactions.

It is a tamper-proof ledger that offers,

  • Decreased fraud risks
  • Reduced business costs
  • Automation of routine tasks
  • Streamlines auditing process and more

Blockchain is becoming an increasingly emerging technology. In fact, the market size for blockchain technology is predicted to reach $868 million by 2025.

9. Low Code/ No-Code

No Code is an application or software development approach that does not require traditional coding or knowledge of programming languages. It is rapidly evolving to streamline financial tasks in accounting. 

It empowers accounting teams and professionals to automate tasks such as:

  • Accounts reconciliations
  • Journal entries
  • Financial statements and more

These no-code apps help teams process financial transactions seamlessly and efficiently when compared to conventional accounting.

10. Cloud-Based Accounting

Cloud-based accounting uses software in the cloud to perform basic accounting processes, such as managing books.

It helps businesses store financial information in a centralized location providing advantages such as:

  • Flexible access to accounting information
  • Real-time collaboration
  • Scalability
  • Cost efficiency
  • Eliminates device-specific constraints
  • Saves time
  • Enhances accessibility and security

This shift is replacing spreadsheets with dynamic cloud systems, thus improving business functionalities. 

Paper ledgers, journals and spreadsheets have swiftly changed to automation and AI. These technological changes are no more ‘future trends’ but ‘current realities.’ So, leverage these tools and software to scale your business to new heights.

How to Implement Technology in Your Accounting Practice?

Accountants sitting through piles of paper documents to crunch numbers is indeed a talk of the past.

Just being good with numbers is no longer enough.

Businesses and firms now want tech-savvy accounting consultants who keep pace with changing trends. In fact, more than 70% of business owners consider switching to an accountant proficient with modern accounting solutions. 

Implementing these technologies is far more interesting than just reading about them. Here’s how you can implement technology in your current accounting practice.

Step 1: Selecting the appropriate tool or software can be challenging. So, thoroughly assess your current accounting infrastructure. 

Step 2: Don’t follow the technological accounting bandwagon blindly. Set realistic and clear goals.  

Step 3: Research, learn and research again. Understand the emerging technologies in accounting. 

Step 4: Choosing the wrong software for modern-day accounting is way worse than not choosing any. Select the right software for your finances.

Step 5: Provide hands-on training to your team. 

Step 6: Take data security seriously. The digital era is all about data breaches, malware, and cyberattacks.

Step 7: Implementing modern-day accounting software needs planning, execution and data migration. 

But if you are still unsure about implementing these new technologies in your business accounting then outsource because every business is unique. 

Outsourcing: A Great Modern-Day Choice for Small and Mid Accounting Firms

Managing finances becomes an added responsibility when running a small or mid-sized accounting firm. Maintaining tax-filing deadlines and regulations and managing clients can be a headache.

These pressures can lead to burnout and poor services. Accounting outsourcing can be a turning point for many small and mid-size accounting firms.

The benefits of outsourcing accounting services are many, including

  • Professional and experienced accountants, 
  • Cost savings, and 
  • Improved customer satisfaction

So stop feeling overwhelmed with work and find the right accounting partner. 

Conclusion

It’s 2024 and there is no stopping in advancements of technologies. To stay connected with the world, enhance business operations, and stay ahead of the competition, modern-day accounting cannot be neglected.

So, if you want to upgrade your business accounting services, Augmented Systems has a team of certified accounting consultants available. Want to know more? Get in touch today.

Categories
Blog Data Migration

The Benefits of Automated Data Migration vs. Manual Migration

Are you spending endless hours copying data, hoping for no errors?

The feeling of continuously tapping your leg and crossing your fingers in fear of no hiccups is common with manual data migration.

So, if you are willing to ditch working endlessly with frustrating delays, inconsistent data transfer and long spreadsheets, consider automated data migration.

Now, stop waiting for a data migration disaster; read the blog to learn how automated data migration can improve your migration process.

Manual Data Migration: What is it?

Manual data migration is migrating your data from an on-premise system to a new one manually. 

Let’s say you are switching to a new CRM (customer relationship management) system. Instead of relying on the automated approach, you decide to take the rein and cling to the traditional manual data transfer method. 

Things you will have to perform with manual data migration: 

Step 1: Data Extraction: Export all data from your old system. For instance, exporting all the customer information such as contact details, customer history and communication records. 

Step 2: Data Mapping: You must match data fields from your old system with the new one. For instance, when labeling customer files, the old system field, “Customer name,” should accurately align with the new system field, “Account Name.”

Step 3: Data Transformation: It is possible that your data in the legacy system does not perfectly match the new system. So, to do so, you perform data transformations. For instance, you physically convert or change information to fit into the new system.

Step 4: Data Loading: Import all data to your new system. For instance, when switching to a new CRM system, you load all the transformed data into your new CRM platform. 

Of course, during the entire migration process, you get the flexibility to manually customize and optimize each step, but at what costs? 

Is it worth all the long nights and headaches? Let’s review the pros and cons of manual data migration and see how it affects your data migration strategy.

Manual Data Migration: The Advantages

Do you know the failure rate of data migration? More than 80% of data migration projects fail or exceed their budgets. 

Now imagine gambling away all the efforts, long working hours and hard-earned money for manually transferring data. Unfortunately, the challenges data migration projects face far outweigh the importance of data migration.

With only two basic advantages, which are low initial costs and simplicity for transferring small data, manual data migration is a no-go. 

Manual Data Migration: The Disadvantages

Do you know the amount of data being created, consumed and stored worldwide each day? Unsurprisingly, global data will reach 180 zettabytes by the (2025) next year.

With the constant increase in data, transferring or managing it is tough. Manual data migration already faces various challenges.

  • Expertise: Do you have the time and resources to train your internal team? Data migration is not a cup of tea for anyone and everyone. Your data migration strategy needs to be precise and accurate. 
  • Time-consuming: Data migration for large datasets is time-consuming. It may take days or weeks to completely and accurately transfer all your data. 
  • Prone to Errors: Are you willing to misplace even one piece of information from your precious data? Data is important, no matter the size of your business. Manual Data migration is prone to misplaced data and missing data points.
  • Disruptive: Achieving zero downtime data migration is next to impossible for any business. With manual data migration, downtime and disruption in your overall business ought to happen.

Manual data migration might work for a business with a small customer base and manageable data. However, if and when the company grows and the amount of data and customer base expands, manual data migration becomes impractical.

So, if you are looking for long-term, sustainable and scalable migration benefits, consider automated data migration. Let’s see how it can work magic for your business.

Automated Data Migration: What is it?

Automated data migration is the process of moving your data from an on-premise or legacy system to a new system using automation tools. 

Let’s explain with the same example of you switching to a new CRM system. But, this time, you switch to automation. From the initial step of extracting the data to data loading, testing and validation, you can use data migration automation tools and techniques. 

For example

  • Automated scripts and tools can extract all your necessary data from the on-premise system. 
  • Automated data migration can enhance system compatibility to perform necessary changes. 
  • The error-handling mechanism can help you locate missing or invalid information. 
  • Using automatic data loading, you can load data in your new system, such as add or update files. 
  • During different stages of data migration, you can use automated testing and validation to ensure the safety of your data.
  • Other benefits, such as data profiling, data quality checks, and data validation, are also automated.

81% of enterprises currently use at least one application hosted in the cloud. This proves that the adoption of automation and cloud computing is significantly increasing.

But, if you are still skeptical about adopting automation, here are a few pros and cons of automated data migration. 

Automated Data Migration: The Advantages 

Running, managing and growing a business is challenging. But with the right tools by your side, you can eliminate the challenges and stressful tasks.

One such task is data migration. By using the best data migration practices and automating them, each step of data migration processing can be handled accurately. 

Here are a few advantages of adopting automated data migration strategies.

  • Speed up Your Migration Process: Imagine savings 50% to 80% of your migration time. Isn’t that time a boon for your business? Save days and months with automated migration, depending on the size and complexity of your business. 
  • Reduce Migration Costs: Who likes to continuously sit in front of spreadsheets or work on repetitive tasks? Nobody! In the data migration process with automation, you can precisely allocate resources and minimize migration-related costs, such as labor.
  • Better Productivity: No matter how you migrate your data, errors are prone to happen. However, automating the process minimizes the risk of human errors and helps you gain insights from your data. 
  • Minimize Disruptions: The biggest barrier is the fear of downtime. Automated data migration minimizes the risk of system downtime, data loss and overall business disruptions. 
  • Work on Your Business Growth: Every business is working towards developing better innovations, enhancing customer experiences and accelerating their business growth. Automation gives you time to work directly on these transformation goals. 

Every data migration is unique and depends on your business requirements. Even though more businesses are adopting the cloud, there are still a few challenges that need to be addressed. 

Automated Data Migration: The Disadvantages

Even before the pandemic, businesses were embracing the cloud’s benefits. However, some are still failing to reap its sizeable benefits. 

Similar to any other modern technology, automated data migration also has its cons. 

Apart from being a complex set-up, automated data migration requires technical expertise and high upfront costs. Moreover, unlike traditional methods, it might not be as flexible and offer fewer tailored solutions.

No matter how challenging or tedious data migration can be, it is up to you whether you wish to migrate and modernize to new systems. If you are unsure, there are several data migration services companies, like Augmented Systems, to help you with the move. 

Automation Vs. Manual: The Difference

So, what’s better? Automated or Manual data migration? 

Well, we don’t want to leave you hanging in the air! So, here are a few differences between both automated and manual data migration processes. 

Dig in to decide your best fit.

Factor 

Automated Data Migration

Manual Data Migration

Efficiency and Accuracy

It is fast and efficient. Can process big data quickly with minimal errors. 

It is time-consuming and prone to human errors and potential data inconsistency. 

Cost and Resources

Initially expensive, but cost-effective in the long run.  Requires less human intervention. 

Initially less-expensive, but costly in the long run. Labor intensive as it is completely manual. 

Consistency and Scalability

Consistent data transfer. Scalable to growing data. 

Consistency depends on individual methods. Scalability is impractical with growing data.

Complexity and Adaptability

Can handle complex data migration processes. Can adapt to different data types.

Requires details planning to handle data migration. Need customized approach.

Downtime

Minimal downtime.

Manual processes take time. Significant downtime.

Error Handling

Completely automatic error handling: detection and correction

Completely manual, errors can be missed. 

Training/ Expertise 

Initial training to understand the system.

Need expertise and continuous training.

Efficiency

Efficient in regards to cost, time and resources.

Need more resources, time and money.

Future

Will adapt to future technological advancements.

Will not work as technologies advance.

So, if you are thinking of migrating your data, first understand the process. Before every migration, make sure to implement a data migration strategy and execute a plan.

Finally, get a sense of how big you want your business to be. If you want to adapt to the changing business environment and digital market, consider automated data migration. 

Top 5 Reasons Automated Migration is Better

Data migration is like deciphering a coded message. Even if it’s challenging, there cannot be any hiccups. It needs proper planning and execution. Automation makes this process easy, unlike the traditional methods. 

So, if you don’t want to be a part of a ‘one-size-fits-all’ approach, here are five reasons why automated data migration is better. 

1. Accuracy and Data Integrity

The most prominent benefit of automating your migration process is accuracy. Data migration automation tools are designed to make your process accurate. They will help you unlock new levels of accuracy and data integrity.

Data corruption, data loss and data inconsistency are difficult to achieve with manual data migration. Automation meets legal requirements, keeping you away from data discrepancies. 

2. Enhances Security 

Automated data migration tools encrypt your data, keeping it always secure. The security protocols make the data accessible only to authorized persons. 

Thus the overall risk of data breaches is reduced, therefore enhancing the security of your entire migration process. 

3. Consistent and Reliable 

Many inconsistencies arise with manual data migration. Your team can be rest assured with automated data migration. With pre-build protocols, your data will remain consistence throughout the process. 

Moreover, you can rely on automation tools for data tiering, duplication and compression. These tools will smartly manage your data, identify and eliminate duplicate data and optimize overall performance.

4. Scalable

Automation is the future of data migration, especially with the growing data. As data grows, so will your business or vice versa. The best part is you can scale your database seamlessly with automated data migration. 

Unlike manual migration, automated data migration can handle increasing data volumes without compromising business performance.

5. Saves Time and Money

Last but not least, automated data migration saves you time and money. While data migration processes are costly, the initial investment will yield a good ROI. The process will reduce downtime and the need for human resources.

Moreover, your team can focus on other crucial business tasks rather than spending billable hours on unnecessary tasks.

The benefits of automated data migration are many. But, in the end, its on you and your business requirements how you wish to foster the advances. 

Wrapping Up

Regardless of the size of your business, focus on the innovations and the modern era. Direct your efforts into reaching new business heights and leave the process of migration in the hands of experts. 

We at Augmented Tech Labs are a team of 70+ data migration experts. Our expertise is tailored to our customers’ specific needs. So, let’s talk if you are looking to migrate your data.