Categories
Accounting Services Blog

The Role of Technology in Modernizing Accounts Payable and Receivable Functions

Is managing finances becoming a vicious cycle for your business? 

Handling invoices, tackling late payments, and struggling with limited visibility into your cash flow is a never-ending process. It is how most businesses are supposed to manage their money. 

But in a world where words like ‘Digital’ and ‘Modern’ are thrown around like confetti, what does a truly modernized accounting department look like? Is it just about being paperless, or is there more to it?

Curious about the future of finance? Dig into this blog to see how technology is shaping the industry. 

What do Accounts Payable and Receivable Mean?

Accounts payable and accounts receivable are essential elements of a financial balance sheet. No matter if its a business or corporate finance, AR and AP play a crucial role. 

However, AR and AP are often mistaken because they impact the inflow and outflow of funds within a business or company equally.

Account Payable (AP): The capital a company owes to third parties. It is considered a current or short-term liability and must be paid within a year. 

Example for Account Payable:

Say a supplier sends you an official purchase order, terms and conditions and sets a delivery date. 

The supplier agrees to cover some upfront costs and the remaining amount after the services are provided. (For example, 30% upfront and 70% upon completion, payable as debit and credit.)

Once satisfied with the service or product, the supplier sends you an invoice with the agreed-upon payment period. Until then, the pending payments remain as accounts payable. 

Account Receivable (AR): The money a company owes from its customers. Businesses usually offer a grace period to the customers to pay for the purchase. For example, ‘net 15’ means the customer has 15 days to make the settlement. 

Example for Account Receivable:

Say you provide a service or deliver products to your customers worth a specific amount. 

You provide your service on credit as the customer does not make instant payments. This credit is recorded as an account receivable, indicating how much your customer owes you for your goods or services.

Let’s understand the differences better:

Factors

Account Payable

Account Receivable

Definition

The amount of money you owe as a company to third parties. The third parties can be your suppliers, creditors, banks or other companies. 

Customers lend you services or products on credit and owe you money. 

Type

It is a current liability account, and the repayment terms typically depend on business to business.

Account receivable is considered a current asset in your company’s ledger.

Duration

The repayment periods could be as short as the next day, within a week or months. 

Depends on business to business.

Formula

(Starting + Ending Payable)/ two

[Starting + Ending Receivable (over a set period)] / two

Reason

To purchase items, services or products on credit

To sell goods and services on credit

Impact on Cash Flow

It is a liability (Cash outflow)

It’s an asset (Cash inflow)

Working Capital Impact

Decreases working capital after the payments are made

Increases working capital after the payments are received

Financial health for any corporate or business is determined by accounts payable and receivable. Managing finances is getting more and more time-consuming for many due to an increase in clients and data. 

Moreover, businesses and companies are leveraging bookkeeping software for small businesses to manage their liabilities and assets. Thus, the traditional paper-laden approach is now changing to modern accounting. 

Do you also want to ditch the old-school methods and work for a smarter future with accounts payable and receivable? Then, read ahead.

The Rise of Modern Technology

Why are almost 82% of businesses failing because of cash flow? Why are most of the startups toasting within a few years? Late invoicing, missed payments, and unrecorded transactions are killing businesses. Slow and error-prone manual accounting systems lead to cash flow chaos. But this is not all. Businesses face many other challenges every day with manual methods. 

Let’s have a look. 

The Challenges of Relying on Manual Methods of Accounting

Many businesses rely on manual efforts to manage accounts payable and receivable. This leads to obvious disruptions such as below:

  1. Time-consuming
  2. Prone to human error
  3. Leads to missed payments
  4. Delays collections
  5. Paper-based invoicing 
  6. Provides limited visibility
  7. Has missed communications
  8. Hinder decision making
  9. Lacks standardized workflows
  10. Inaccurately reports finances ( and many more.)

At the end of the 20th century, basic computers streamlined accounting and bookkeeping processes, making financial transaction tracking and management easier with accounting software and ERP (Enterprise resource planning) systems. 

But was that enough to streamline finances? No! Here’s why companies started switching to modern accounting solutions. Below are four benefits that can help you stay ahead with the digital trends. 

4 Benefits of Modern Technology in Accounts Payable and Receivable

Businesses are using platforms like Zoho, FreshBooks, and many others to handle their financial flow. Besides that, bookkeeping software for small businesses is also growing rapidly.

Moreover, businesses are switching to modern solutions like digital payments, electronic reporting and advanced technology such as AI (artificial intelligence). 

The impact of technology on accounts payable and receivable is above and beyond. Let’s see how.

1. Automation

Automation is taking over the world of finances, and enterprises are no longer relying on laborious, manual procedures to complete regular accounting chores. Additionally, the global accounts receivable market is predicted to grow by $1.13 billion by 2026.

With automation, you can:

  • Automate processes, such as invoice generation, payment tracking and reconciliation
  • Help businesses generate and distribute invoices
  • Send payment reminders
  • Get follow-ups on overdue payments
  • Free up your valuable time
  • Improved cash flow management 
  • Reduced costs
  • Secure and error-free payment systems
  • Focus on more strategic tasks 

The technological revolution has replaced the manual work of check payment methods and cash. You can now make instant payments by shifting to automation and electronic payment methods.

2. Integration

Digital technology is a game changer for traditional accounting processes. Businesses are integrating with other financial systems to improve their data accuracy and efficiency. 

  • Integrate with systems like ERP to get real-time visibility into your financial data. 
  • Manage customer relationships better with software like CRM (customer relationship management)
  • Make informed decisions
  • Foster strong relationships with suppliers and customers
  • Respond to market changes faster 

Moreover, integrating mobile technologies and the cloud is crucial in managing finances. Mobile capabilities allow users to access financial information like invoices and payments. 

3. Data Analytics

Data analytics enables businesses to analyze their raw data and convert it into meaningful insights. Through data analytics and reporting, businesses can make informed, data-driven decisions.

  • Uncover trends and patterns of your financial data with data analytics 
  • Develop targeted strategies and anticipate cash flow
  • Get insights into customer payment patterns
  • Identify bottlenecks in payment processing
  • Optimize credit management strategies 
  • Track key performance indicators (KPIs)
  • Address payment issues
  • Strengthen relationships with customers 
  • Offer tailored payment terms and solutions

With data analytics and reporting, you can streamline your communications and collaborations with your vendors and customers. Moreover, you can better understand customer behavior.

4. Customer Experience

With technological advancements, you no longer need paper invoices and phone calls. Technological changes have made the payroll accounting system a breeze.

  • Hold time and paperwork are reduced, making businesses happy
  • Convenient and secure payment services are a big benefit to customers
  • Decreased manual intervention
  • Automated reminders and notifications keep customers informed
  • Updates on upcoming dues and late payments
  • Instant support with chatbots and virtual assistance

Technology helps businesses build stronger customer relationships and enhances customer satisfaction and experience. 

By proactively tracking accounts payable, you can determine where your money is going and how to be more efficient. Moreover, you can stay current on your business’s profitability by monitoring accounts receivable. 

3 Ways to Modernize Your Finances

New technologies are reshaping the financial landscape worldwide. Financial processes are unprecedented opportunities for organizations to enhance their overall efficiency, accuracy and transparency in their operations. 

Read on to see how you can change your capital structure.

1. Artificial Intelligence and Machine Learning

AI and ML are helping develop powerful software that is capable of analyzing, interpreting and comprehending complex data. 

AI mimics human cognition to perform complex tasks and learn from them. At the same time, ML is a subcategory of AI that uses algorithms to produce adaptable models that can perform complex tasks.

  • AI and machine learning algorithms can help you get real-time financial insights.
  • AI and ML can help you revolutionize financial analysis, forecasting and risk management.
  • Automate tasks like invoice processing, fraud detection and data entry
  • You can make smarter decisions by analyzing historical data and predicting payment behavior
  • Suggest optimal payment schedules and collection strategies using AI and ML

Leverage the power of AI and ML algorithms to effortlessly detect irregular patterns in your financial system.

2. Robotic Process Automation (RPA)

RPA is an advanced business process automation that uses intelligent solutions to streamline repetitive tasks, reduce errors and optimize workflows.

  • RPA allows you to automate operations like sending invoices, tracking overdue payments and receiving clearance follow-ups. 
  • It improves cash flow by speeding up invoice processing and payment cycles.
  • Reduces manual work and helps focus on other tasks.

Robotic process automation is useful for many finance-related tasks, including accounts payable, accounts receivable and order processing. 

3. Blockchain

Blockchain is a distributed ledger technology that facilitates the use of digital bookkeeping and recording systems to capture financial transactions and related data. It can record transactions in multiple places at once.

  • It helps make transactions securely and transparently.
  • Get a tamper-proof record of your transactions and reduce the risks of errors and fraud.
  • Speed up your settlements using blockchain.
  • Create a transparent and efficient supply chain.

Blockchain technology can transform your payment processing system, supply chain management, and digital identity. It can also help businesses improve vendor and supplier relationships.

Modern technologies can help you create an efficient, secure, automated accounts payable and receivable system.

To help business owners not cringe at hearing the word ‘cash flow,’ here are a few tips to manage AR and AP.

5 Tips to Handle Accounts Receivable and Accounts Payable

Managing hundreds of different transactions can be a headache. Keeping track of what you owe, what you have sold and what your customers owe you can be difficult. 

However, cash flow management must be a top priority for all businesses and organizations. Here are five tips to assist you in reaching your financial goals.

Tip 1: Create credit policies. You can give greater payment flexibility to good credit customers and less leeway to new customers. Also, pay your suppliers when you receive items in good condition. This can help you take advantage of discounts.

Tip 2: Foster Communications. When dealing with large transactions, you might struggle to stay on top of both departments. Accounts payable and receivable can make you juggle. Communication between departments can make this easier.

Tip 3: Short Transaction Cycles. Establish shorter timelines for accounts receivable and payable. Shorter receivables can help you quickly deal with your accounts payable. 

Tip 4: Use Modern Technology: Tracking a missing invoice can be painstaking. Tracking invoices, receipts, order purchases, and shipping is too much work. Hence, use automation and modern technologies to track your finances. 

Tip 5: Ageing Accounts: Keep track of all your accounts and transactions. For all aging accounts, take action immediately. Establish timelines for when payables and receivables should be cleared.

You can automate these processes using accounts payable software or accounts receivable management tools. You can track anomalies and mis-interrupted workflows and determine your business’s financial health. 

Predicting the Future

People used abacus to keep track of calculations and machines that could help solve math problems. Accounting technology evolved to calculators, computers and now automation.

But what is the future of accounting? How will accounts payable and receivable functions change in the coming years? 

Imagine a future where the payment process is not just streamlined but fully automated. 

Conclusion

Technology and digitization have changed the global market in the last few years. They have influenced the nature of accounts payable and receivable functions, making them more than just the ‘bean counter’ of the past. 

The future of finances looks sorted and bright. If you are looking for modern financing methods, contact our experts at Augmented Systems.

Categories
Blog Data Migration

10 Things to Keep in Mind When Choosing Data Migration Services

Just like new homes, migrating to new systems is ‘fresh and thrilling.’ But the question is how to make the transition seamless and safe. Right?

Whether moving your belongings or migrating your data, choosing the wrong service provider can be disastrous, but it is equally crucial.

However, this headache is less tricky if you have the right ‘mover’ by your side. So, to help you pick the right partner, we have compiled a list of 10 things you must consider before choosing data migration services.

Ready for the move? Let’s go

Why Do You Need Data Migration Services?

What is Data Migration? The data migration process involves moving data from an old or legacy system to a new one. It basically consolidates all your digital data and moves it to a new and modern system. 

Why do Businesses need Migration Experts?

Do you want your business to be among the 83% of migration projects that either fail or exceed their budget? Of course not!

Data is being generated rapidly, and businesses are worried about utilizing its true potential. And the best way to make the most of this data is to choose the right experts to maximize its value. But how do these migration experts make the migration process a breeze?

Data migration service providers plan, execute, and oversee your entire migration process. They ensure that your data migrates smoothly and securely while handling all the data migration challenges. The experts:

  • Understand: They understand your data migration needs to provide tailored solutions
  • Strategize and Plan: Develop a comprehensive migration plan while mitigating potential risks
  • Audit and Improve: Audit your existing system, identify errors, and improvise wherever needed
  • Cleans and Translate Data: For a seamless move, they clean and translate your data
  • Perform Data Migration: They oversee the entire migration process
  • Test Post-Migration: They test and test the new system to look for errors and corruption in the data
  • Document: From planning and strategizing to fixing errors, they document every step
  • Adhere to Regulatory Compliance: Experts ensure your migration process complies with regulatory requirements and guidelines.

So, if you are willing to save time and money while knowing that your data is in safe hands, let the experts take over. Moreover, you can manage or move your data by following the data migration best practices listed below.

Data Migration Checklist: 10 Things to Keep in Mind

Scattered, unorganized data could be one of the greatest risks businesses can take today. And the next big mistake? Moving their data from one destination or data warehouse to another without taking into account the risks associated with it. 

Are you willing to take that risk or make this mistake? If not consider these 10 factors first before the big move and choosing for data migration services.

1. Your Migration Needs

Have you thought about why your business needs to migrate? No? Then, first, define your objectives. To do so, you can ask yourself the following questions.

  • Migration Reason: Why are you planning to migrate?
  • New System Benefit: What are the benefits of the new system or the cloud?
  • Business Impact: How will it benefit your data and overall business?
  • Type of Data: What types of data do you want to migrate?
  • Number of Users: How many people will be using the new system?
  • Migration Service: What data migration service will you opt for?
  • Migration Challenges: What challenges will you face before, after and during the migration?
  • Solutions: How will you overcome these challenges or risks?
  • Migration Tools: What are the tools available in the market?
  • Ideal Tool: Which tool is suitable for your business needs? 
  • Legacy System: What will happen to your legacy system?
  • Data Access: Will you be able to access your data during the migration process?
  • Migration Provider: Who is the data migration service provider? 

Defining your needs and expectations beforehand will make your migration smooth. Data migration needs planning and proper execution. To plan, first, clarify and jot down your data migration goals.

2. Data Migration Tools and Techniques

Once you are through with your planning stage, selecting the best data migration tools or techniques is paramount.

  • Step 1: Do your homework to make your migration process easy. 
  • Step 2: Research the tools and techniques that best suit your business needs. 
  • Step 3: Verify if your data migration service provider uses those tools and techniques.

Finally, consider the security of your data, cost, ease of use and other similar factors when selecting a tool or technique for data migration services. Other factors like customer support and feedback can also be considered before hiring data migration service providers.

3. Experience and Expertise

Before selecting data migration services, you shouldn’t hesitate to know your provider’s complete scope of services, expertise and experience. 

No matter the amount or type of data, the data migration service should handle the data you are transferring or working with. Evaluate the data migration service providers with these questions.

  • Is the data migration service provider able to process any volume of data? 
  • Do they have a complete data migration roadmap?
  • Will they provide a comprehensive service, including pre-migration planning, execution and post-migration services?
  • How long have they worked for your specific business industry?
  • How do they tackle migration challenges?
  • What types of tools and techniques do they have the expertise in?

Moreover, consider the scope of your migration process. If you need data cleansing and analysis services, ensure that the provider also has expertise in these areas. 

4. Cost and ROI

Another important factor to consider when selecting a data migration service is the total price of the project and the return on investment (ROI). Compare pricing and ask the providers about the ROI you can expect. 

Here are the two most impactful questions to consider when it comes to the overall cost of your migration process. 

  • What is the price of the service? 

Large migration projects are typically more expensive than smaller projects. The cost also depends on the provider’s expertise, as more experienced data migration service providers charge higher fees. However, they also tend to complete complex migration projects faster than less experienced ones.

  • How will the price affect the complexity of your project?

Complex data migration projects need more time, resources, and cost. But, it is crucial that the data migration service has the necessary resources for your project. Relativity simple projects will be cheaper than complex ones.

In the end, it all comes down to your requirements and budget. Lastly, assess the return on investment on the overall project. 

Secret Tip: Data migration services at Augmented Systems help reduce operational costs and enhance business capabilities in the long run

5. Downtime Management

According to a report, 76% of organizations experienced downtime and data loss in 2021. Isn’t that alarming?

Even the slightest impact on your day-to-day operations can lead to major downfalls. Therefore, choose a data migration service provider that helps maintain the continuity of your business while your data migrates. 

Ask your provider the following questions for downtime management.

  • What migration strategy will they follow?
  • Will they move your data in phases?
  • What will be the duration for the entire migration process to complete?
  • Will the migration be planned during peak hours or off-peak hours?
  • How will they set up real-time monitoring to detect, realize and resolve issues?

Furthermore, do not solely rely on the process or the provider. To be on the safe side, always back up your data. 

6. Communication

It is essential to maintain open communication channels with both the provider and your team. 

Keep your team updated about the migration process and its impact on business operations. Team members from other departments will help the migration providers understand your data and its complexity. 

At the same time, communicate with the providers about the timeline and duration of the migration process. If you don’t want delays or disruptions in your business, collaborate with everyone from the very beginning. 

Finally, be strategic about every stage of the move. Be open to communications and ask as many questions as you can for a seamless transition.

7. Data Security

Are you willing to lose even 1% of your data or information? Unauthorized access, breaches, and data loss should be a big no. Therefore, data service providers should understand the level of security your data needs. 

To protect your data, consider these questions before choosing data migration services.

  • Does the data migration service provider follow data quality standards?
  • Do the data providers offer robust security measures?
  • What are their data security policies?
  • What is there response plan to security breaches or lost data?
  • Do they comply with industry-specific standards and protocols?

Security should be number one in your data migration checklist. Breached or lost data will directly impact your business. 

8. Tailored Solutions and Flexibility

You wouldn’t want to choose a provider who isn’t flexible according to your business or data needs. The right data migration services should offer tailored solutions for your data migration needs. 

Seek a data migration service provider who can migrate complicated data and offer flexibility for future needs. Here are the questions to consider that should be on your data migration checklist.

  • Do they offer customizable options for your specific needs?
  • Can the provider handle different data types or system architectures?
  • Will they be able to provide a custom migration workflow?

Do the data migration services follow the one-size-fits-all approach? If yes, avoid considering them for your data migration project, as it won’t work for most data migration projects.

9. Data Integrity and Accuracy

Data structures, storage mechanisms, and database technologies are the main differentiating factors between your legacy and the new system.

The data migration provider must maintain the integrity and accuracy of your data throughout the data migration lifecycle. It is a complex and challenging task. 

Ask the provider the following questions to judge if they are suitable for a successful migration.

  • How will they manage mapping data fields, system incompatibility, and data format disparities?
  • How will they validate data compatibility and perform necessary transformations?
  • Will they conduct data reconciliation to ensure a successful migration?

Look for a provider who makes the migration process accurate without compromising the quality and functionality of your data. 

10. Scalability

Naturally, your business will scale with time, and so will your data. The data migration service you choose should also grow with your business.

The only question you ask your provider here is: Will they support your future migrations as your data and business infrastructure grow?

Conclusion

Consider improved data accuracy, reduced costs, efficiency, and better data management before signing up for a data migration service provider.

Augmented has successfully completed over 200 projects with a 95% client retention rate. Find the right partner in us. Read more to see what our clients say about our data migration services.

Categories
Blog Data Migration

Data Migration Testing Strategies: A Comprehensive Guide

Worried that data migration can mess up your data in the new system?

Missing data, wrong details, lost information or poor-quality data are headaches for many. A failed data migration project can jeopardize any business. 

So, to implement a successful data migration, prioritize data migration testing. Testing will make your migration smooth without compromising its integrity.

So, to help you ensure a smooth data migration, here is a complete guide on data migration testing strategy. Dig in to not put your data at risk.

The What, Why and When of Data Migration Testing

Data migration from a legacy system to a new system is usually considered a simple job—moving data from place A to place B. But, in reality, it is a much more complex task.

From the initial planning to the final execution, data migration encompasses various steps before, during, and after the migration process. Among these, data migration testing emerges as a pivotal and urgent one, demanding immediate attention.

So, learn about data migration testing, why it’s important, and when to perform it, keep reading.

What is Data Migration Testing?

Data migration testing is a process of assessing data before it is transferred from one source to another during data migration. The testing ensures data accuracy, completeness and consistency.

It involves three main stages:

  1. Inspection Before Moving: Examine the data before migrating to find what needs to be moved and what needs to stay. 
  2. Monitoring the Data: To quickly fix any problems or hindrances and closely monitor the data. 
  3. Post-move Inspection: Check again to ensure that everything in the new system matches the legacy system. 

Why is Data Migration Testing Important?

83% of data migration projects fail or beat their deadlines and budgets. This alone is enough to take data migration testing seriously.

However, that’s not all. Data migration is essential since it ensures:

  • Data integrity
  • Data loss prevention
  • Identification of bottlenecks, issues and breaches
  • Customer demands and satisfaction
  • System integrity

So, data migration testing is essential to stay compliant with the legal requirements pre- and post-migration. 

When is Data Migration Testing Required?

Data migration testing is mandatory for many reasons. Let’s see how.

  • Upgrading to a New System: When moving data from one system to another.
  • At Each Stage of Migration: Testing is necessary at all stages of migration.
  • Migrating to Cloud: When you are transferring your data from on-premise to a cloud platform.
  • Merging Systems: When combining or merging data from multiple systems into a single system.
  • Database Conversion: When converting data from one format to another.

Before initiating the data migration testing, it is crucial to thoroughly create a data migration test plan. You can also use data migration testing tools for a seamless data migration. Moreover, depending on your needs, you can choose different testing types.

What are the Types of Data Migration Testing?

The dataset and data needs of every business are unique. Different data sizes and data complexity require different tools and testing methods.

Here are four key data migration testing techniques that can help your business achieve optimal results.

1. Functionality Testing

Functional testing is the process of assessing whether the migrated data functions or operates as it did before migration. 

Functionality Testing is vital to guarantee that the migrated data retains its intended function. Even if the data appears to transfer, it may not be usable due to underlying issues in its structure.

It focuses on various things including:

  • Data Integrity and Quality: Is the data correct and complete?
  • Data Relationship: Is the data working together and connecting as expected?
  • Data Comparison: Is the new system performing the same as the legacy system?
  • Real-use Scenarios: Can the new system handle real-world situations?
  • Checking Adherence: Is the data or new system following the business rules and regulations?

Functionality testing helps Q/A engineers ensure that the information or data performs as planned after the move. In other words, it helps them know if it aligns with the migration process’s desired outcomes. 

2. Performance Testing

Data migration performance testing confirms that the new system improves performance while maintaining overall stability. To measure this improvement correctly, you need to capture performance requirements and benchmark values before migration.

Performance testing focuses on assessing the efficiency of the data migration process in technical terms. Simply, it checks how fast and smooth the data moves to your new system. 

It helps assess factors, including:

  • It measures the data transfer speed and response time
  • Helps catch error occurrences and troubleshoot them.
  • It helps identify the amount of strain migration puts on the systems.

Businesses and organizations can identify and fix any bottlenecks by conducting performance testing. They can also use this information to optimize data transfer efficiency and ensure that it doesn’t affect the overall system.

3. Security Testing

Security testing is performed to ensure that the data migration process is free of security issues.

Data migration security testing is crucial for safeguarding the migrated data against potential breaches and hindrances. The test helps you keep your data safe during the move. 

Security testing, as the word suggests, focuses on:

  • Providing user permissions and protection.
  • Security testing provides encryption measures.
  • It also evaluates the data transmission methods and environments.
  • Data masking methods. 

Leveraging the security test, you can find any weaknesses or loopholes during the process. This minimizes the risk of unauthorized access or security breaches. 

4. Compliance Testing

Compliance testing is done to verify that the migrated data and the entire process adhere to specific rules and regulations during data migration.

Data migration compliance testing helps prioritize protection regulations and industry standards. This ensures that the migrated data follows compliance requirements as it moves from one system to another. 

Compliance testing can help you:

  • Protect the integrity and privacy of your migrated data. 
  • Reduce the risk of potential legal and regulatory issues. 
  • Avoid foreseen monetary implications. 

Data migration compliance testing can help you maintain trust and business reputation during migration. It complies with data privacy regulations and security policies. 

What are the Phases of Data Migration Testing?

Whatever your business size, migrating critical information and crucial data should not be based on gut feeling. Every phase of data migration testing is crucial. 

So, learn how to plan your move and test your process at every phase.

1. Pre-Migration Testing

Pre-migration testing is a set of testing activities performed before migrating the data from an on-premise system to a new system.

Perform the pre-migration test before starting your data migration process. It focuses on setting the stage for a smooth migration. 

Steps Involved: 

  1. Plan: Develop a comprehensive data migration plan when planning for a pre-migration test. 
  2. Cleanse: Find and bifurcate the data that you want to migrate and the one you want to leave. 
  3. Prepare: Clearly define the data scope. Identify data sources and set up the environment for migration. Check if the source is compatible with your requirements.
  4. Perform: Do data mapping at various levels during the migration between legacy and new systems. 
  5. Study: Identify potential risks and ensure data backup. Study the data flow and verify the data after migration. 

During this phase, you can start with a small transfer to check that everything works in your favor. A trial run can help you identify potential risks or hindrances. Moreover, it will help you define the potential downtime required for the process. 

2. Migration Testing

Phase two of testing is migration testing. It is a set of testing activities that is performed as soon as the data migration process starts. Ideally it starts by backing up the data of the legacy system. 

It involves a data migration test plan that helps monitor the migration process in real-time. During an actual migration, this testing phase ensures that your data stream flows continuously and arrives as it is. 

Steps Involved:

  1. Quality Checks: Migrating testing will rigorously assess the quality of the migrated data for accuracy and completeness. You can use specialized tools to check the data quality.
  2. Integration Testing: This process ensures that the target system interacts smoothly with the legacy system.
  3. Data Mapping Testing: It verifies that the data mapping is correctly defined between the source and target system. 
  4. Process Testing: These tests ensure that the entire data migration process is completed in a controlled environment. All the end-to-end systems are connected correctly and the new system works as expected. 

Once the data arrives in the right place, user testing can be implemented. It will measure whether you or your team can use the new system. 

3. Post-Migration Testing

Post-migration testing is a series of follow-up tests done once the migration is complete. 

These tests help determine if the migration process was correctly executed. After the data migration process is complete; you can perform post-migration testing to ensure that the data migrated to your new system is not damaged. 

Imagine moving to a new home and making sure that everything works as expected. Post-migration testing serves a similar function.

Steps Involved:

  1. Verify: Be sure that everything works properly.
  2. Validate: To perform data reconciliation so that the data in the new system is the same as the legacy system. 
  3. Enable: To ensure that users can access all their data
  4. Performance: To see how well the system handles data volumes and usage speed. 

Accurate documentation is essential, detailing every step of the data migration testing strategy. 

What are the Data Migration Testing Challenges?

Data migration may present many data migration testing challenges. Navigating these hurdles requires careful planning and a well-researched approach that provides strategic solutions. 

Here are some challenges that may hinder your migration process.

  1. Data Loss: Losing critical data, such as customer information. To prevent loss of data you can perform a back-up before migration. 
  2. Downtime: Data migration testing can extend the period of downtime leading to an overall loss for your business. You can plan to migrate your data during off-peak hours.
  3. Data Governance: Without proper governance, the data may be mishandled. This may lead to unauthorized access, loss, or corruption. You can implement policies and protocols for your migration process.
  4. Data Quality: The quality of your data is a major issue during data migration testing. Duplicates and outdated information can easily make the migration process complicated. Rigorously clean your data and validate your data before migrating.
  5. Data Inconsistency: It is possible that your data in the new system does not match with your data in the legacy system. Therefore take the required steps, such as data mapping, to translate correct data in the target system.
  6. Data Volume: Data migration testing can become a sheer challenge with the size of your data. It can be time-consuming to test large datasets. So, strategize your testing methods or use automation.

By overcoming these challenges, you can ensure a seamless and stress-free data migration testing process.

Checklist for Data Migration Testing

Data migration testing is not a cakewalk. It needs proper planning and execution. Here is a data migration testing checklist that can make your testing a little easier.

1. Migrate in Stages

Split the entire testing process into smaller and manageable batches. Testing smaller datasets will give you more control and visibility of your data. You can pinpoint and identify issues easily, minimizing the impact on the existing system. 

2. Double-check Your Migration Tools

Verify that your migration tools are accurately migrating data from your on-premise system to the new system. You can be extra cautious by having an experienced programmer review the tests. They can help you catch code errors, data mapping issues or identify data loss. 

3. Establish User Roles

Secure your new system by setting up user roles and permissions for the new system. Define the access levels for each user within your organization. This could include adding or removing user privileges and implementing secure authentication methods. 

4. Data Migration Test Plan

Implement a well-organized test plan for an effective data migration test. Strategically organize and orchestrate your team for successful testing. Provide them with the right data set and environment to run the tests. 

Careful planning can ensure that the tests align with the complete migration goal and provide you with the expected results. 

5. Reporting the Test Results

Systematic test execution and reporting are crucial elements of data migration testing. Your testing plan will guide you and help you report any issues found in the migrated data.

Keep track of your progress and create a comprehensive report summarizing the test results. Make informed decisions by identifying problems beforehand. 

Data migration testing validates the integrity and accuracy of your migrated data. Proper testing can help you identify data discrepancies and take corrective measures.

Tips to Make Your Data Migration Testing Easy

Here are a few tips to reduce the risks associated with data migration testing and make the process easier.

1. Plan

You should have a clear plan for your data before you start the testing phase. Planning the entire process will create a roadmap for a smooth data migration.

  • Start by Meticulously Crafting Your Goals. The goals may cover objectives, timelines, resources and potential challenges. 
  • Also, create a comprehensive data migration test plan to transfer your data accurately and with minimal errors. 
  • Create consistent formats and structures to simply migrate and minimize errors.
  • Focus on the quality of your data. Make your data clutter-free. Eliminate duplicate data for reliable results. Moreover, clean unnecessary, outdated and consistent data or information. 

2. Right Approach and Tools

Having the right approach and utilizing the right tools are fundamental for any data migration process.

  • Migrate in smaller sets. This will minimize disruptions and downtime and help troubleshoot issues quickly.
  • Select tools or software designed especially for your needs. This will aid in automating tasks, reduce errors and boost efficiency.

3. Monitor, Optimize and Document

For real-time feedback, efficient executive of your data transfer, monitor and optimize your data. Moreover, document it throughout for future reference.

  • Monitor your migration process closely. Address issues to optimize and ensure a smooth migration process. 
  • Maintain and document all the plans, procedures, and processes. Transparent documentation will help maintain accountability and knowledge sharing. 

Moreover, you can seek help from experienced partners to leverage their expertise and resources. Working with experts will help improve migration success and reduce risks. 

Conclusion

A small miss in data migration testing can be risky for overall data migration. It is difficult and prone to mistakes. 

Given the complexity and susceptibility to errors, developing a robust data migration testing strategy is essential before starting the testing. 

We at Augmented help you plan and design an effective data migration testing strategy. Feel free to contact Augmented Systems our team of experienced testers and robust tools to make your testing feel like a breeze.

Categories
Blog Data Migration

5 Ways Data Migration Tools Can Improve Your Business Operations

Choosing the right data migration tool is like choosing the best ice cream. All look similar but taste quite different. 

However, there’s one key difference: the money you invest. You can get bin an ice cream scoop if you don’t like it but you cannot practically reverse data migration once done.

You need to study each tool in detail and choose the one that aligns with your objectives.

Sounds like too much work? Well, worry not.  

As data migration experts, we know the ins and outs of all tools. We’ve curated this list just for you to make the most out of your data migration investment. 

Let’s get in!

What are Data Migration Tools? 

Data migration tools are software applications that transfer data from an on-premise system to a new one. Transferring data from one system to another is called data migration.

Data migration tools guarantee that the migration process manages and safeguards your data by:

  • Data Extracting
  • Data Preparing
  • Data Transforming
  • Data Cleaning, and
  • Loading the data

This is done to ensure that the migrating data is appropriate and meets its new storage location requirements. But the question is why are 57% of organizations actively migrating to the cloud?

Let’s have a look.

Why Do Businesses Need Data Migration Tools?

According to Statista, worldwide data generation will exceed 180 zettabytes by 2025, with an average of 328.77 million terabytes daily.

With these stats, it becomes obvious that businesses need more space and better platforms to store their ever-growing data. Here are some more reasons why businesses update their storage systems.

1. Technology Upgradation

Businesses often upgrade their software and infrastructure to keep up with technological advancements. Data migration helps them make this switch smooth, preserve critical data and minimize disruptions. 

2. Data Consolidation

Businesses are often mistaken to be highly systematic to the outside world. But internally, they are a medley of data and information. 

This scattered data across various systems can help businesses evolve, but only when managed efficiently. So, businesses choose to consolidate all their data with data migration.

3. Security and Compliance

Data privacy regulations are becoming stricter. Data migration becomes paramount for businesses to comply with data protection regulations and secure their data. 

Data migration solutions help organizations achieve both goals. It moves data to new systems while following the regulations and keeping sensitive information safe throughout the migration process.

4. Business Expansions

Business acquisitions, mergers and even organic growth may create a mess of disorganized data. Here, data migration helps businesses merge the disintegrated data from multiple sources. Despite a few data migration challenges, the process becomes smooth and secure.

With vast amounts of data accumulating, managing and maintaining it becomes expensive and difficult for many businesses. Data migration solutions such as migration tools offer several other benefits, such as cost reductions and data-driven insights. 

Keep reading to find ways to eliminate the tedious and risky process of manual transfer. 

5 Advantages of Data Migration Tools

Finding what you need amongst heaps of data sets can be a nightmare. So, how can you make your data migration process a breeze? Data migration tools are the solution. 

But there is more to this! Data migration tools are essential to consolidate all your messy data into one organized central system. But what exactly are the benefits of having everything in one place? 

Let’s have a look.

1. Data Quality and Consistency

You might not be aware, but your business is very likely to have duplicate, incomplete and inconsistent data entries. With such poor-quality data spread across systems, it is too difficult to get a clear picture of what’s happening in your business.

Data quality impacts your company’s decision-making. Data migration tools often have built-in validation and cleaning features. You can leverage these to:

  • Ensure accurate and error-free data
  • Identify and rectify duplicates, incomplete and inconsistent data entries
  • Maintain high-quality data
  • Provide data migration automation capabilities
  • Seamlessly move data to a new system 

A centralized platform enhances the data quality of scattered data across platforms. Moreover, it reduces the need for manual intervention and speeds up the migration process.

2. Better Data Security

Security is a big concern for business, especially with big data. With cyber incidents being the leading risk to businesses globally for 2024, maintaining data security is crucial. 

Data migration tools offer you with robust security features and encryption protocols to protect your data.

  • The tools protect sensitive information during the data migration process.
  • So even though your data is intercepted during the transfer, it remains secure and unreadable. 
  • Tools are designed with industry standards and regulations, such as GDPR (General Data Protection Regulation.)
  • The tools adhere to the regulations to help businesses protect their data from security breaches.

Thus, your tool provider fulfills all the necessary security and compliance requirements, letting you focus on other business tasks.

3. Cost Savings + Better ROI (Return on Investment)

Which company wouldn’t want to boost its profit margins and achieve a better ROI? None! Investing in a data migration tool can result in significant cost savings and more profitable ROI. How?

  • Automating data migration reduces labor costs. Instead of spending countless hours on migration tasks, your team can focus on other things.
  • Migration tools mitigate the risk of data loss and errors, being a costly affair.
  • Tools transfer your data without loss or corruption of the data.
  • Pay only for what you use with cloud storage and avoid upfront costs like software licenses.
  • The providers cover the cost of maintenance, upgrades and security, saving you a lot of money.

Efficient and easy-to-adopt tools help you quickly adapt to new systems. You get more time to market new products while saving money. 

4. Time-Saving

Migrating large volumes of data from one system to another takes a lot of time. Data migration tools help move the data to a new system quickly and safely. 

Automation is the core of many data migration tools and has many benefits to offer.

  • Tools streamline the process, thus improving efficiency and saving time.
  • They handle all the repetitive and complex tasks, such as data extraction, transformation and more.
  • The tool helps businesses move terabytes of data quickly, reducing downtime and disruption to operations.
  • With built-in consistency and integration check features, tools help reduce the time required for post-migration verifications.

Time is crucial for all business processes, like manpower and resource management. With migration tools and data migration solutions, you can focus on other relevant tasks. 

5. Increased Business Efficiency

Higher profit margins, productivity and efficiency are key factors in defining a successful business. Data migration tools help achieve this by handling a lot of work efficiently and securely.

  • Migration allows businesses to see their data more clearly and the time to grow by making better decisions. 
  • The beauty of these tools and technologies lies in their continuous upgrades and enhancements, which provide a reassuring outlook for your business’s future. 
  • All your data in a central location improves the company’s visibility for better data-driven decisions.

Data migration tools have many benefits, from significant cost savings and boosted security to better decision-making. These benefits are crucial for attaining business success.

6 Factors to Consider Before Selecting a Data Migration Tool

Data migration is challenging, but data migration tools make the process easy. 

The tools act like expert movers, moving all your digital data from one place to another. But picking the wrong tool is like opening a safe with a spork.

So, how do you choose the perfect one? Here are six factors to consider before selecting the tool. 

1. User-friendly Interface

Look for an interface or design that is user-friendly and easy to use. The interface should have powerful features and robust functionalities. 

Moreover, your team should be able to get the most out of the tool quickly and securely. The dashboard of the tool must simplify the migration process.

2. Automated Workflow

Moving large-scale data can be complex and require more time. A good tool would offer the automation features necessary to speed things up. 

The best tools can schedule tasks and orchestrate workflows. Thus, look for an automated tool to save time, reduce costs, eliminate manual labor, and streamline the entire process.

3. Pricing

Find a budget-friendly tool for your business. Moreover, don’t just look at the price; understand how the tool charges to ensure you get the most for your money.

You may consider the total cost of ownership, including licensing fees, ongoing maintenance costs, and setup costs. 

The price should scale with the amount of data you are migrating. The tool should not be basic. Furthermore, inquire about the charges for additional support.

4. Compatible and Adaptable

The tool you select should check all the boxes: It should be adaptable, compatible and customizable. Ensure that it connects to and works with both the current and the new systems.

It should be able to handle all data formats. Moreover, it should allow you to configure the process according to your needs, such as mapping data fields and filtering specific data types. If it fits your budget, look for a tool that automates complex tasks.

5. Features

Look for a tool that goes beyond basics. It should offer robust functionalities that can handle a wide range of migration processes.

The tool might encompass features such as bulk data loading, data filtering capabilities, data integrations, real-time data replication and more.

Remember, it’s not just about moving your data. A good migration tool should also be future-proof, capable of accommodating future add-ons and changes in your data environment.

6. Regulatory Compliance

Relevant data regulations and industry standards are crucial. Make sure that the data migration tool you select stays on the right side of the law.

Have a thorough knowledge of the data regulations and compliances that adhere to your business needs. Moreover, find tools that have relevant security certifications. Choose a tool that helps you stay away from the legal risks.

Selecting the right tool is the key to performance efficiency, saved time and future growth. Instead of investing your precious time in monotonous and repetitive tasks, spend the same time finding the right migration tool.

Top 5 Data Migration Tools 2024

To help you end your search for the perfect tool, here are the top 5 data migration tools for 2024. 

1. Fivetran

Fivetran is a cloud-based data migration tool. It automates the migration process from SaaS to data warehouses. 

Features

  1. Universal: Permits to connect seamlessly with other connectors, such as Salesforce, Amazon RedShift and Google.
  2. Automation: You can automate all your data migration tasks easily with Fivetran.
  3. Efficient Management: This feature lets customers manage and streamline their data operations, such as metadata, process orchestration and application connectivity. 

Pros

  1. Connectors: Offers over 150 pre-build connectors for a wide range of sources and destinations.
  2. Low Code: Lesses the need to hire data engineers to create data pipelines connecting various SaaS services.
  3. Technical Support: You can get round-the-cloud support from specialists for any technical issues.

G2 Rating: 4.2/5

2. Stitch

Stitch is a cloud-first, open-source data migration solution to move data from its source to the warehouse. It helps businesses transform, clean and prepare their data for analysis. 

Features

  1. Structured or Unstructured: You can extract and load data from sources, including databases and spreadsheets. It can be structured or unstructured data.
  2. No-Code: You can migrate your databases without codes using Stitch’s pre-built connectors.
  3. Functionalities: Offers functionalities, such as data warehousing, ETL and data migration.
  4. Security: Provides security and compliance features, including encryption, masking and role-based access.

Pros

  1. 130+ Connectors: Supports over 130 connectors, including Asana, AWS and Salesforce.
  2. Handles Big Data: Can handle large amounts of data with automation.
  3. Alerts and Fixes: Monitors errors and alerts the users about the same. It also automates the fixes if possible. 

G2 Rating: 4.4/5

3. Hevo Data

Hevo Data is a zero-maintenance data pipeline platform. It automatically syncs data from the source to the warehouse. It is a no-code cloud-based platform for modern ETL, ELT, and Reverse ETL needs.

Features

  1. Key Aspects: Consolidates data from various sources prepares the data for analysis and offers operational intelligence.
  2. Real-time Migration: Users can migrate data from multiple sources to warehouses, including Redshift and Snowflake. 
  3. Data Connectors: Provides plug-and-play integrations for various applications and databases, including CDC support using Rest API.

Pros

Codeless Pipeline: With Hevo’s codeless data pipeline, you don’t need IT support to set up databases and warehouses for analytics.

Security and Compliance: You can be reassured that your data remains safe as  Hevo provides data confidentiality and prioritizes data privacy and security. 

G2 Rating: 4.3/5

4. Matillion

Matillion is a free SaaS-based data integration tool. It is an ETL software that is cloud-based and purpose-built to support leading cloud data warehouses. It helps load valuable business data into cloud cloud-based warehouse. 

Features

  1. Code-free: It is a no-code, wizard-based pipeline builder that supports leading warehouses, such as Snowflake, Amazon Redshift, Google BigQuery, Microsoft and more. 
  2. Push-Down ETL Technology: Harnesses the power of a data warehouse to process complex joins over millions of rows in a few seconds. 
  3. 80 Pre-build Connectors: Offers and supports more than 80 connectors to SaaS services, such as AWL and Salesforce. 
  4. Built-in Analytics Features: Allows data loading, transformation, sync and orchestration in one location.

Pros

  1. Customizable: According to your business needs, you can configure ETL and manage complex pipelines using a single dashboard.
  2. Price: It is free of cost.
  3. User-Friendly: You can design a transformation component using point-and-click selection or writing SQL queries. You can also get real-time feedback, validation and data previews for your interface.

G2 Rating: 4.4/5

5. Integrate.io

Integrate.io is a cloud-based tool that offers its customers the tools to connect, transform and load data between multiple applications. It also helps businesses integrate, process and prepare data for the cloud.

Features

1. Data Pipeline Platform: It offers many functionalities all in one platform. The functionalities including:

               No-code ETL (Extract, Transform, Load)

               Reverse ETL, 

               ETL &CDC, 

               API Generation, 

               Data Observability, 

               Data Warehouse Insights.

 2. User-friendly Interface: Data specialists and people with limited programming experience both can use the platform

3. Flexible Pricing: Pricing is independent of the number of users or the volume of data.

4. Customer Support: Integrate.io is renowned in the industry for offering 24/7 global support.

Pros

  1. Effortless Migration: Move your data easily from the old to the new system (on-premise and legacy).
  2. Seamless Integration: Works seamlessly with popular databases, such as SQL and SFTP (Secure File Transfer.)
  3. Consolidates Data Pipeline: Unifies data from different sources into a central streamlined pipeline.
  4. Data Conversions: Executes a range of pre-built data transformations automatically. Eliminates the need for coding. 
  5. Safe Data Transfer: Guarantees a secure movement for your data.
  6. Easy of Use: Simple and easy for non-technical users.

G2 Rating: 4.3/5

Numerous tools are available to cater to various requirements. Choosing the right tool for your data migration can be challenging. Therefore, you must select a versatile, reliable, and scalable tool that fits your explicit needs.

Conclusion

Migrating data can be time-consuming and complex. However, with the right tools, it doesn’t have to be one. 

Investing in a data migration tool is not just about convenience. It’s a strategic move that can yield long-term benefits for your business, enhancing efficiency and productivity. 

With 60+ projects completed, we at Augmented are a full-fledged data migration company. We know the ins and outs of getting the job done for any data migration process. Get in touch to get support at every step of your growth.

Categories
Blog Data Visualization

The Role of Data Visualization Consultants in Driving Decision-Making

Despite powerful visualization tools, many still struggle to utilize the complete potential of their data. 

If you feel the same way, consider hiring data visualization consultants. These experts help turn your unstructured data into compelling stories.

Want to know how? Dig into the blog to learn how data visualization consultants can help you drive decision-making with your data. 

What Does a Data Visualization Consultant Do? Who are They?

Data visualization consultants design and develop data visualizations and dashboards for businesses and firms. 

  • They translate data into visual information using graphs and charts. 
  • The information then becomes accessible to everyone and easy to understand.
  • They create user-friendly dashboards using data visualization tools like PowerBI, Tableau, and Infogram. 
  • Moreover, they are experts in storytelling using business intelligence tools with your data.

What are the Tasks of Data Visualization Consultants?

Consider data visualization consultants as translators who convert raw data into appealing visualizations. They offer expertise, advice, and insights for your data.

A few specific tasks that data visualization consultants do:

  • Access data processes and recommend best practices
  • Manage and implement data solutions
  • Educate team members on the data visualization process
  • Train employees in data management and analysis
  • Help identify potential risks, problems and opportunities
  • Create data models
  • Generate reports and dashboards
  • Develop data security protocols
  • Help businesses recognize their most valuable data assets
  • Provide technical support

Data visualization specialists have the complete expertise to understand your data inside out. 

Why are Data Visualization Consultants Required?

You may have the best visualization tool or know the most favorable data visualization technique for communicating complex information, revealing patterns and telling stories. But, creating visually compelling visualizations can be difficult. 

Therefore, you might need data visualization specialists for many reasons. Here are the three most common reasons:

  • They can help you understand the big picture of your company data.
  • Consultants help with decision-making analytics.
  • It is handy for them to identify trends in your raw data.

Data visualization consultants help you bring that value to your visuals with their expertise and knowledge. Let’s look at how these consultants can reveal the hidden value of your data. 

5 Benefits of Hiring Data Visualization Consultants

Data visualization consultants can be the most valuable asset for your business. Not only do they streamline your data, but they also recommend the best tools. They handle repetitive tasks and other time-consuming data activities. 

Hiring a data visualization expert has many benefits. Let’s summarize the big ones and see how to leverage their expertise for your business. 

1. Enhanced Data Interpretation

Data visualization consultants bridge the gap between unorganized data into meaningful insights. By simplifying complicated data assets, they turn the unprocessed data into easy-to-understand representations. 

  • Aesthetically pleasing data visualizations are easy for everyone to understand, regardless of their technical knowledge.
  • Experts uncover trends, relationships and anomalies.
  • They help craft stories with your data that make data more engaging.

Data visualization consultants focus on what truly matters and deliver a picture.

2. Better Decision Making

A thorough understanding of the data is crucial. Data visualization consultants have the expertise to comprehend the data to unlock its core potential. 

  • They have the clarity and insights into the data that help make data-driven decisions.
  • Not all charts are the same. Experts know to select the most appropriate visualization types for your data.
  • They ensure that the information is presented accurately and delivers the intended message.

Data visualization specialists use sophisticated visualization techniques to foster quick decision-making and lead to enhanced business outcomes. 

3. Reduced Risks

Data visualization consultants help businesses identify hidden risks, such as sales dips or security gaps. They do this by identifying hidden trends that would otherwise be missed. These patterns expose potential risks.

  • The potential pitfalls identified by experts help mitigate risks.
  • Businesses also become aware of emerging competitors or a shift in customer requirements. 
  • With sharp data insights, businesses get the privilege to make better choices. 
  • For example, an expert can make a dashboard that tracks KPIs (Key Performance Indicators) related to cyber security attacks. 

Thus, you can monitor risks and take steps to mitigate them with the help of a consultant.

4. Increased ROI

Consultants help businesses make informed decisions that lead to optimal resource allocation. Improved business outcomes eventually maximize the return on investment (ROI.)

  • Businesses can facilitate operations, downsize costs and boost productivity as consultants help find bottlenecks.
  • They help boost sales and customer trust by understanding the market trends and customer behaviors.
  • Experts visualize data that reveals profitable areas of your business. 

Data visualization specialists have expertise in making data more accessible, actionable, and operational. By leveraging their knowledge, businesses can gain tangible business value.

5. Tailored Solutions

Data visualization consultants understand your business and data. They bring clarity according to your specific business goals and challenges. 

  • With numerous visualization tools available, such as Tableau and Power BI, experts help you find the one that best fits your data and budget. 
  • By keeping future data growth in mind, they create visualizations that can integrate with your system.
  • Experts understand the importance of the target audience. They create visuals that are easy to understand by the target audience.

Thus, the experts provide tailored solutions for impactful data visualization and create visuals that meet your unique requirements.

Top 10 Questions Before Hiring a Data Visualization Specialist

Of course, data visualization consultants are experts in their field. But how do you know if they are well-versed in your business? 

So, before hiring an expert, ask these top 10 questions. 

  1. Can the consultant walk you through the process of understanding a business? 
  2. How does the consultant translate a client’s business goals into data visualization strategies?
  3. Does the expert have a project example that showcases the skills and knowledge?
  4. What data visualization tools is the consultant proficient in?
  5. What is the process of selecting a tool for a specific business?
  6. How does the consultant perform data cleaning and transformation before creating visuals? 
  7. What is the consultant’s way of communicating with an organization’s necessary teams or members?
  8. Does the consultant provide tailored solutions?
  9. Is there transparency when it comes to both technical and non-technical decision-making?
  10. How does the consultant ensure the security and privacy of data during the entire process?

These intuitive questions can help you assess the consultant’s approach, expertise and communication style. 

Conclusion

Hiring a data visualization consultant brings many benefits to your business. The experts partner with you and understand your data. They ensure that you make smarter choices with your data. 

If you want clarity with your data, our experienced consultants at Augmented are here to help. Feel free to contact us today.

Categories
Blog Data Visualization

What is the Difference Between the Data Analytics and Visualization?

Numbers and data everywhere, but struggling to make sense of them? Does jargon like data analytics and visualization make it tricky to understand?

We all have been there. The struggle to understand data and trying to figure it out is a common battle. Almost everyone has been flooded with reports and flashy charts. On top of that, terms like data analytics and data visualization make it more tough.

But don’t let data make you feel lost. This blog is here to help you determine the difference between the two terms and how to use them.

So, let’s get started.

What is Data Visualization?

Data visualization is organizing complex data sets into a simple and clear format. Charts, graphs, maps, and other visual designs simplify intricate data, numbers or information.

Imagine walking into an office and seeing messy sales figures on the whiteboard. Looking at the numbers, you may wonder whether they are important or just collecting dust.

Data visualization uses charts and graphs to help clear these jumbled sales figures, giving you a clear picture of the hidden data, patterns, and trends.

Example:

You are the marketing manager for a manufacturing company. You are managing intricate production processes, mountains of data, complex machine decisions and customer demands.

Constant monitoring and a constant stream of this data can be a headache. Here is when you can leverage the key components of data visualization and transform your scattered data into actionable insights.

Data visuals like scatter plots or charts can help you break down and compare elements like performance metrics or customer demographics.

What is Data Analysis?

Data analysis is a process of examining and understanding data. Once analyzed, you convert and organize this data to understand trends or patterns and make informed business decisions.

In simple terms, data is like a box of LEGOs. It has several pieces, but they make no sense until stacked together to build something. Data analysis helps convert the scattered, “not so meaningful” data into something meaningful.

Data analysis uses tools and techniques to uncover data patterns or trends. Moreover, with the ever-changing dynamics of data, data analysis trends are also evolving with time.

Example:

Apart from many other factors, the secret to running a manufacturing company is efficiency. However, the ever-evolving and disintegrated data makes it challenging. You need to know how to optimize and convert it into a profitable one.

When you analyze data, you can identify bottlenecks, optimize processes, and predict market trends. This can be done for different areas of your business, such as production processes and inventory management.

The Difference: Data Visualization Vs. Data Analytics

Data analysis and visualization go hand in hand but are not the same.

Data analysis uses statistical tools and techniques to find the hidden patterns and trends in your data. Data visualization uses those insights to transform your data into easy-to-understand visuals.

Here is a side-by-side comparison for both to help you better understand.

Factors

Data Visualization

Data Analysis

Uses:

Data visualization converts the analyzed data using graphs, charts and other visual tools, into clear and compelling information. The represented information becomes easy and simple to understand or remember. 

Data analysis helps extract meaning from your data. You can simplify your complex data with data analysis. Data analysis finds conclusions about your raw data or information, making it more manageable and comprehensible. 

Benefits:

Data visualizations help business owners make quick decisions. You can comprehend the given data even at a glance. 

Helps provide a foundation for data visualization, apart from identifying masked data trends. 

Limitations:

It can be difficult to handle very large sets of data. If presented using a wrong visual tool, it can lead to many wrong business decisions.

It is time-consuming and requires skills to understand the data.

Purpose: 

The purpose is to simplify and clarify the questions of “why and what” using visual tools. 

To find answers to the “why and what” behind your data. What and why is it happening? What is the purpose? What could be the outcomes?

Tools / Platforms:

Tableau, PowerBI, Zoho Analytics.

Google Analytics, SAS, Python.

Techniques:

Static data visualization and Interactive data visualization.

Descriptive data analytics, Prescription data analytics and Predictive analytics. 

Types:

Graphs, charts, plots, maps, diagrams, histograms and more.

Descriptive statistics, Data mining, Machine learning algorithms, Time series analysis and more.

Industries:

Data visualization applications are used by various industries, including healthcare, finance, manufacturing industries and more.

Industries including government, retail and travel agencies. 

Co-dependency:

Data visualization relies on the identified and pattered data presented by data analysts. 

Data analysis won’t be able to give meaning to the analyzed data without data visualization.

Used By:

Covers a broader audience, including organizations, business owners,  data visualization consultants, and the general public.

It targets data decision-makers, analysts, engineers, and scientists who can understand the technicalities behind the data.

Data analytics and visualization may seem like synonyms in general terms but differ in the wider data community. However, they complement each other, with one (data analysis) delivering insights and the other (data visualization) presenting those insights to a wider audience.

How Do Data Analysis and Visualization Work Together?

Data analysis and visualization are like the two sides of a coin. They are co-dependent—data analysis helps understand the massive data, while data visualization converts it into pictures to make it easier to understand.

Data analysts, with their expertise, play a crucial role in making informed and effective business decisions. They extract meaningful information from structured and unstructured data, providing you with the confidence to make the right choices.

Endless columns and rows of a gigantic spreadsheet make data overwhelming. Data visualization tools are used to draw actionable conclusions and make the data interactive.

Conclusion

Imagine analyzing sales data and finding an underperforming section. You know the value of this information for your business but are unsure what to do with it to grow better.

Now, use visualization tools to compare the underforming information with other aspects. The result: a clear picture of concerns that are now easy to brainstorm to bring solutions. 

Grasping data analytics and visualization is crucial, no matter your field. So stop doing the guesswork and make smarter decisions based on evidence. 

And if you are unsure how or where to start, Augmented Systems is here for you.

Categories
Blog Data Migration

The Road to Seamless Data Migration: Strategies for Success

Are you ready for your data to be compromised during the transfer? Or will it be okay if downtime hampers your business growth?

Of course not. The sheer thought of data corruption or loss sends chills down the spine. 

But these nightmares can be avoided if you strategically move your data. This blog post comprises of six best data migration strategies for a seamless migration.

So, learn how a seamless data migration can help avoid these pitfalls. 

What is Data Migration, and Why is Seamless Migration Necessary?

Data migration is the method of transferring data from one place to another. The migration process occurs from the on-premise system to other systems, such as the cloud.

How does cloud migration work? When you move your data from your in-house or private data centers to a public cloud platform, the following few steps are taken:

  • Data migration planning and assessing.
  • Backing up the data.
  • Selecting the right data migration techniques.
  • Preparing the Cloud environment.
  • Performing the migration. 
  • Testing and optimizing

Did you know that adopting cloud computing is on the rise? The global market for public cloud computing is expected to reach $679 billion in 2024. 

But why does seamless data migration require serious consideration? Let’s have a closer look. 

Why is Seamless Migration Necessary?

Data is the goldmine for every business or organization. Imagine your data being lost during the migration process. No business or organization would want that. 

Seamless migration is crucial because of many reasons, including: 

  • When you perform the migration process, data should remain available and accessible throughout the process.
  • Seamless data migration minimizes the risk of data corruption or data loss.

Let’s understand the importance of seamless data migration with a simple example.

Example: 

Imagine migrating to the cloud after years of using a legacy system, and all data migration process steps have been carefully thought through.

However, during the migration, you experience certain hiccups which disrupt your business. Moreover, your team does not know what to do, and you are on the edge of losing all your precious data. 

Now the question is: 

Are you willing to lose all the data? Are you ready and prepared for the hiccups? Did you follow a data migration strategy? 

If not, the consequences cannot even be imagined. So, to avoid such distress and safely transfer your data to a new system seamless data migration becomes pivotal.

How to do that? Read ahead. 

4 Factors to Consider Before Starting Your Data Migration

A smooth migration isn’t magic. Thorough data migration planning is important. So before you hit that “migration” button, here are 4 things you should consider.

1. Conduct an Audit:

Don’t just pack and move. Conduct a comprehensive data audit before data migration planning. Declutter and streamline your data by leaving behind all the duplicate or outdated data before the migration.

2. Let People Know:

It is exciting to switch to a new platform. However, your team and stakeholders must be kept in the loop throughout the migration process. This ensures they get acquainted with the new system easily and are prepared for disruptions.

3. Decide on Your Migration Objectives:

Don’t migrate without setting goals. Set some clear objectives and also share them with your team. Understand the “why” behind the move and plan a roadmap for a successful migration.

4. Choose the Right Provider:

Don’t just jump blindfolded from one place to another. Data migration can be a ground-breaking move for your company. But only if the chosen platform is right. So, do your research and find the one that fits your data needs.

A seamless data migration is within your reach—all it takes is the right plan, tools and strategies. Let’s examine the best strategies for achieving a seamless data migration.

6 Strategies for a Seamless Data Migration

With data on the move, solid data migration planning and best practices can make a huge difference.

So, ditch the data migration disaster with these six winning strategies.

1. Make a Plan

Have an effective plan. Why? Because planning is the key to a successful and seamless data migration. A proper plan for the process will help you and your team be prepared for any obstacles or challenges. 

  • First, identify what data needs to be migrated. For instance, customer information or product details. 
  • Second, set a timeline with clear milestones. Meanwhile, assign tasks to your team members, such as who does what and when. 
  • Third, have regular check-ins to keep everyone in the loop. 

Having a well-structured plan instills a sense of preparedness and confidence in your team. It helps you course-correct and keeps you ready for any mishappenings. 

2. Back-Up Your Data

Sometimes, even after having a proper plan, things may go south. For instance, your data may become corrupt or go missing during migration. So, to avoid any panic during the transfer, data backup is crucial.

Remember that the best backup technique or strategy depends on a lot of factors, such as the size of your data and the data migration techniques. So, consider talking to an expert or an IT professional before backing up your data.

3. Select the Right Migration Tool

Taking the right route to reach your destination is of utmost importance. There are different data migration techniques, but its on you to choose the one that best suits your data volume.

A few questions that you can ask yourself when selecting the right data migration tool:

  • What is your destination? Are you migrating to the cloud or a different platform?
  • How long will it take to migrate the data?
  • Can the tool handle the migration from your on-premise system to the new one?
  • Is your data secure during the migration with the tool?
  • How much will be the migration cost?

Don’t settle for the first options. Do thorough research on multiple migration tools. When picking a tool, ensure that you are looking for a seamless and secure migration. 

4. Conduct a Test

It is not the best plan to jump straight into transferring everything. Don’t rush before migrating your data. Test your migration with a “mini-migration.” The test will detect problems or errors and help you iron out the hindrances in advance.

You can avoid major issues and move your dataset with minimal downtime or other disruptions with a pre-migration test.

5. Get Ready for the Implementation

It’s time to execute. This is when your planning comes to life. You have carefully planned, backed up your data and confirmed that everything works well with a test run.

During the migration process:

  • Closely monitor each stage of the process to ensure a smooth transfer.
  • Have open and clear communication with everyone involved. Communication can address any hurdles and bumps.
  • Keep stakeholders in the loop and inform them about potential disruptions.
  • Post migration verify and check the new system for safe, secure and complete data. 

Congratulations, you are good to go. You’ve successfully migrated your data to a new place.

6. Review and Monitor

It’s not over yet. After the data migration process is complete, establish a plan for regular check-ups. Perform data audits regularly to review and monitor the data. 

You can seek feedback from end users, address issues and monitor data quality.

So, if you are also looking for a seamless data migration, consider implementing these strategies. 

Looking for a Seamless Data Migration?

Businesses and organizations can confidently transfer their data without compromising their data integrity. Data migration can be as easy as it sounds by carefully planning, clearly communicating and conducting extensive tests. 

At Augmented, we make the move easy. For all types of data migration solutions, schedule a free consultation or book a demo with us today.

Categories
Accounting Services Blog

Key Factors to Consider When Choosing an Outsourced Accounting Provider in Australia

Is accounting and managing taxes becoming a headache for you? Is the tax return deadline for this fiscal year in Australia making you nervous? Is in-house accounting making it costly?

Let’s face it: Accounting is a devil of a job. From accounting costs to tax return deadlines, nothing is easy. Consequently, many businesses are switching to outsourced accounting in Australia.

Are you willing to hire a company, too? If yes, consider choosing the right one from the pool of outsourcing companies competing for your business.

To do so, we have identified the top six factors to consider when choosing the right accounting services in Australia. 

Read ahead before you hire one. 

Why is Selecting the Correct Accounting Outsourcing Provider Important?

Accounting outsourcing frequently brings obstacles such as sloppy account management, errors, and compliance issues. 

Picking the right accounting services in Australia is a challenging but essential decision. Why? 

Let’s look at an example to better grasp this. 

BDC PVT. LTD. is a manufacturing business based in Melbourne. The company decides to outsource its accounting services to reduce costs, improve efficiency and focus on other business work. 

They opt for outsourced booking services in Australia. The company owner did not assess them or their expertise. Attracted by their low fees, the business owner did not also check for their lack of experience in Australian tax laws and regulations. 

As a result – the manufacturing business faced several consequences. A few of them include: 

  • Hefty fines by the Australian Taxation Office for non-compliance.
  • Negligence of data security measures led to cyberattacks. Thus compromising sensitive data and financial information.
  • Loss of trust from stakeholders and unforeseen expenses.

Hence, the right outsourced accounting firm in Australia can solve all your headaches overnight, but the wrong one could risk your reputation!

So, to make the right call, consider the following 6 main aspects when outsourcing accounting work in Australia.

6 Things You Should Consider When Selecting Outsourced Accounting in Australia

Businesses are considering Accounting Outsourcing in Australia from the very start. 57% of respondents to a survey conducted in 2023 said accounting was the leading job being outsourced by startups in Australia. 

However, outsourcing has risks. Therefore, we have compiled the following six aspects that should be evaluated before hiring for accounting services in Australia. 

Let’s dig in to know more. 

1. Accounting Specialties: Expertise, Knowledge and Experience

Hiring an accounting provider should be done with preciseness. The outsourcing accounting firm should have the expertise, knowledge and experience to manage your finances. 

Before hiring outsourced bookkeeping services in Australia, ensure they possess the following:

  • They should have appropriate qualifications and certifications, such as CPA or CA. The certifications will exhibit their level of expertise. 
  • Experience in your business’s industry should be next on the checklist. If a firm has experience unique to your sector, you can rest assured that the company has also mastered the rules, policies, and obstacles for you.
  • Technological knowledge is another crucial part. The outsourcing company needs to be proficient with accounting software and technology platforms. 

By weighing these factors, you can choose an accounting outsourcing provider that best suits your needs and your company’s objectives.

2. Take Cost-Effectiveness and Scalability into Account

Hiring an outsourced accounting or bookkeeping service in Australia does not mean you have to burn a hole in your pocket. You are outsourcing because you are penny-pinching (apart from several other reasons), correct?

Hence, an outsourcing accounting provider should help you save costs. On the flip side, also provides you with scalable solutions that grow with your business. 

The charges are generally competitive, so look for several options. Get quotes from different service providers, compare and then hire. 

3. Communication: Clear, Consistent and On-Time

A lack of communication can ruin your business. But how would you assess whether the communication is clear, consistent, and timely?

  • First, evaluate the firm’s responsiveness. Was the response during your initial conversations prompt and comprehensive?
  • Second, are you using communication channels, such as emails and video calls, preferred by you? 
  • Next, do you have a designated person for all your communications? If yes, is there transparency regarding every aspect of your business, including finances?
  • Are they alerting you about all the necessary deadlines, such as tax filing deadlines? 

These are some communicational points on which you can evaluate an outsourced accounting firm in Australia. 

4. Qualifications and Certifications

Another key factor to consider when outsourcing accounting services in Australia is checking the provider’s qualifications and certifications. 

Double-check that your accounting firm has certified accountants with the necessary qualifications and certifications. 

These compulsory certifications are:

  • A 4-year full-time degree: An accountant should have a bachelor’s Degree in Accounting, higher or equivalent. 
  • Should have professional recognition by the CPA: The Certified Practicing Accountant in Australia is considered one of the leading professional accounting bodies in Australia. It offers CPA certifications or designations. 
  • Professional Certification of a CA: The accountant or the accounting firm should have Chartered Accountant certifications. The certification indicates cutting-edge knowledge and skills in accounting and finance. 
  • Industry-Specific Certificates: These certificates depend on the sector or industry the outsourcing accounting firm is working for. They should have relevant certifications related to your precise sector. 

Therefore, before hiring a firm ensure that they have the expertise to do your accounting work. 

5. Technology: Innovative Infrastructure, Security and Privacy

In the accounting business, confidentiality, security, and privacy are essential. There before hiring, look for a firm that:

  • Uses advanced accounting software
  • Has safe and secure data storage 
  • Automation technologies with stringent security protocols
  • Strict confidentiality policies 

Moreover, your data could be at risk if the firm does not adhere to the strict security and privacy compliances of the (ATO) Australian Taxation Office

Therefore, find a firm that adheres to high-tech accounting infrastructure, secure data storage options, and ATO compliance.

6. Guidance and Support

Every corporation has its unique set of prerequisites for finance management. Finding an outsourced accounting firm that caters to your business needs is fundamental. 

Here’s what you can look for in terms of guidance and support from a firm you are willing to hire:

  • The accounting firm should advise you on compliance with the Australian Taxation Office (ATO). 
  • You can evaluate them based on their responsiveness towards your problems and questions. 
  • Consider how the firm provides guidance and support specific to your industry in the initial stages of communication. 
  • The firm should also guide you through GST, timely submission of tax returns, accurate reporting, and more.
  • Examine the firm’s training, staff support and educational knowledge. Get feedback from other businesses that might have hired them for similar services.

Furthermore, according to your tailored business needs, they should provide guidance and support as and when needed. 

Therefore, consider all of the factors above. Moreover, you can ask them questions before signing an agreement. Below are some questions you can ask. 

Top 10 Questions You Can Ask an Accounting Outsourcing Firm

Thoroughly investigating the accounting company you plan to outsource to in Australia is vital. Before entrusting an accounting service in Australia, ask the firm the following 10 questions. 

Question 1: What is the accounting outsourcing service provider’s niche? How much have they grown or have the experience in this field?

Question 2: How much will they charge you? How will they calculate your pricing or fees?

Question 3: What will be their delivery or response time for your project? Will they provide 24*7 access to your financial or accounting records?

Question 4: Do they have the required qualifications and expertise for your company? Do you have licenses and certifications?

Question 5: Is the service provider updated with the latest information for your business? Do they follow the latest encryption and security protocols?

Question 6: What information or data do they need from you throughout the year? Will their services be scalable? 

Question 7: Can the outsourced accounting firm represent you in the event of a tax audit?

Question 8: Who will be responsible for your accounts? Does the accountant know the latest technology? 

Question 9: What kind of communication will be implemented between you and the outsourced team? Will they have a direct communication with you?

Question 10: Will the team working for your company be assigned to other clients? If yes, what will be the privacy protocols and compliances? 

Apart from asking these questions, you should visit the company in person, get to know the individuals who interest you, and then determine whether or not to trust it completely.

Conclusion

Outsourcing accounting services in Australia can either make or break your business. Before hiring one:

  1. You can consider referrals, 
  2. Check customer reviews and testimonies or 
  3. Get consultations from our certified experts at Augmented Systems

We know keeping track of every dollar when running a business can be daunting. But we can help you solve all your problems. With our professionals, you can get hassle-free financial management services.

Categories
Blog Data Migration

How Would You Handle Data Loss During Database Migration?

Are you also concerned about data loss prevention in cloud computing?

Imagine this: You are ready to migrate your data to a new system by strategically planning the move. But one question keeps bothering you: What if the data goes missing?

What a nightmare it would be!

Data migration is unpredictable and comes with its own set of problems, including data loss, downtime, and more. However, understanding how to prevent them is crucial.

This blog is for you if you are preparing for a data migration move and unsure how to prevent data loss. 

So, read ahead, and don’t let your valuable data be lost or compromised.

Is Data Migration a Risky Business?

Your business data holds immense value and is critical to your success. However, with data growing at an exponential rate, the possibility of having too much data is alarming. 

Therefore, businesses and organizations are moving their data to the cloud. However, transferring surplus amount data to a new location is not just copying and pasting. It needs proper planning and execution. 

That leads us to one question.

Is Migrating Data a Risky Task?

Many businesses and organizations find it difficult to migrate their data. Most organizations are unsure what to do with the influx of data, especially if they plan to migrate it. Moreover, if not planned, data migration problems are bound to happen, making it a risky job. 

Factors that make data migration risky are:

  • Incomplete mapping
  • Incompatible systems
  • Human errors
  • Data loss and corruption
  • Complexity of data
  • Data gravity and data silos

Problems such as security and complaint issues require strategic planning during data migration. About 50% of companies reported security and compliance dangers as a primary challenge when moving to the cloud. 

So, to ensure a seamless, intact and secure data transfer, it is crucial to consider reliable data migration solutions prioritizing data integrity and security.

Why is Data Integrity and Data Security Important?

Data Integrity means maintaining the quality of your data over time and across formats. For instance, the data you transfer from your database should replicate what the receiving end receives. 

For an enterprise, this implies that its data is always accurate, consistent, and up-to-date. 

Data Security is when your data is protected from internal and external threats. For instance, protecting your data from cybercriminals. 

For an organization, this means deploying passwords and encryption to protect customer data from hackers and ensuring that critical information does not fall into the wrong hands.

Thus, data integrity and data security, are both crucial during data migration to avoid jeopardizing businesses or customers due to mishandled data.

The question now is, how can you prevent data loss? Let’s continue reading to learn more. 

3 Steps to Avoid Data Loss During Data Migration

If you want to perform a database migration without downtime, data loss, or disruption to your business, follow the following three steps. 

Step 1: Conduct a Comprehensive Data Backup Before Migration

You wouldn’t want to lose any files or data, not even by accident, would you? But what if some of your most crucial data gets lost? Are you willing to bear the consequences of missing even a single file? 

Even a minor loss of data can have a significant impact on:

  • Employee productivity, 
  • customer trust, 
  • day-to-day activities and 
  • overall revenue. 

Therefore, the foremost step for any successful data migration is conducting a data backup before migration. It’s like a safety net for data loss prevention in cloud computing. 

You can perform data backup pre-migration by implementing the following:

1. Sort Your Data: Identify and categorize your data according to its importance. First, back up crucial data, including customer databases, files, and documents.

2. Select a Backup Technique That Fits Your Needs: Choose a backup method that best suits your business or organization’s needs. You can do so based on factors such as data volume and company size.

3. Perform Regular Backups: To minimize the risk of data loss, schedule regular backups. Consider doing daily, weekly, fortnightly or monthly backups.

4. Check for Integrity: Once you have backed up your data, verify it for data integrity. Validate that the backup data is successful and secure.

This simple step mitigates the risk of data loss. Moreover, data backup can make you stress-free, even if a file is accidentally deleted.

Step 2: Conduct a Test Migration in a Managed Environment

The next step for data loss prevention in cloud computing is migration testing. 

Migration testing, or cloud migration testing, is a pre-migration process that helps ensure your data migration is done correctly and efficiently. It ensures that everything from your files to applications remains functional and secure. 

You can conduct a test migration in the following way:

1. Setting up a Test Migration Environment: To test your migration, create a replica of your migration scenario. You can mirror all the software, hardware, and other network configurations.

2. Develop Predefined Test Scenarios and Use Cases: Test for successful and unsuccessful migration scenarios. This will help you identify potential failure points. You can test different data sets, data volumes and migration methods.

 

3. Execute and Analyze the Test Migration: Execute the cloud migration testing using a chosen migration strategy. Monitor and record any discrepancies during the test. Now, analyze, identify, and address the issues.

The only data migration solution to any problem during data migration is pre-migration testing. So, perform a test before issues like data loss occur in the “real world.”

Step 3: To Verify That Migrated Data Is Accurate, Implement Data Validation Checkpoints

It is paramount that the data transfers take place as accurately as possible. And to do so, you can implement the following data validation checkpoints. 

1. Defining the Validation Criteria: Define how you want to validate your migrated data. You can verify for data integrity, consistency, and completeness. 

2. Include Validation Checks: Test for data migration integration before, during and post migration. 

3. Compare the Data: Verify your data at the initial and final stages to check for data inconsistency or discrepancy. Also, check and verify for database migration without downtime, data loss, or other problems. 

4. Record and Document Validation Outcomes: Always record and document the results of your data validation for future reference.

It is of paramount importance that you validate and verify your data at every stage of your data migration process. This ensures that you prevent data loss of any kind. 

Hire an Expert

Data loss prevention in cloud computing isn’t a one-horse race. It requires the right knowledge, tools, and teams. So consider hiring experts or consulting a data migration company like ours. 

We at Augmented are here to help you through your entire data migration process – from planning to execution. 

So, who are you waiting for? Contact us and protect your data before it gets lost.

Categories
Blog Data Migration

Maximizing ROI with Data Migration: Strategies for Long-Term Success

Are you unsure if investing in a data migration process is worth the hassle? The decision is similar to leaving the corporate world to start a venture – risky, yet with great potential for rewards. 

But how do ensure you get handsome ROI on your data migration efforts? How do you even calculate it? Well, you start by reading this blog.

Dig into the blog till the end to learn effective data migration strategies to optimize your data migration process for maximum ROI. 

What is ROI in Data Migration, and How Can You Calculate It?

Return on investment (ROI) is a measure that shows how profitable your company’s data transfer process is. The profit is calculated in relation to the expenses involved during the migration process. 

The benefits of transferring your data should be > the expenses involved in the migration process. 

So, if your data migration’s benefits outweigh the costs and work involved, it will have a good return on investment (ROI). However, if the benefits are adverse, your ROI can be lower or even negative.

You can take some steps to calculate the ROI from data migration. Let’s take a look.

Steps to Measure ROI in Data Migration

Data migration is on the horizon and you want to get the most of your money.

You would want to upgrade, modernize or streamline your data infrastructure. It could be anything! But regardless of the cause or the scale of your business, you will search for methods to reduce your costs and maximize your profits.

So, below are the steps that you can take to maximize return on investment in your business.

Step 1: Determine the Costs: 

Your company’s costs could be direct or indirect. Direct costs include expenses for migration software, software licenses, infrastructure, and labor. Indirect costs include training, hiring data migration consultants, and even downtime and disruptions.

Step 2: Make Benefit Estimations

Find out the benefit estimations you gained when transferring data to the cloud. For example, if you are experiencing less processing time, streamlined operations, or potential cost savings on the next system.

Moreover, do not overlook intangible benefits, such as customer satisfaction and enhancement in data accuracy. 

Step 3: Do Calculations

Here, you calculate the overall benefits of your data migration process. You can do so by subtracting the total costs from the total revenue. Calculate the savings of expenditure, time and increase in revenue.

Using the net revenue, you can now calculate the percentage of your ROI with the following formula:

Calculating ROI as a percentage can help you determine which migration projects are worth your time, money, and expenses. Ultimately, this can maximize the return on investment for your organization.

Step 4: Consider the Time Frame and Potential Risks

When calculating ROI, it is also important to consider the duration over which the benefits and costs will be obtained. 

Some benefits may be immediate, while others may take a longer time to occur. 

Moreover, you may also experience some unforeseen risks. Therefore, consider data loss, extended downtime or unexpected costs that may affect the ROI calculations.

Step 5: Review, Monitor and Make Changes

Last but not least, monitor the performance of your migrated data. Review the entire process from start to post-migration. Now, calculate and adjust the ROI accordingly.

ROI calculations for data migration might be complicated due to various intangible aspects. 

However, measuring and maximizing the return on investment for your data migration process can be effective. Keep reading the blog to know how.

5 Best Data Migration Strategies to Maximize Your ROI

The data migration trend continues to evolve – at a much faster pace now than ever. 

But many data migration companies, businesses and organizations that have ventured into the cloud are trying to trim their expenses. 

If you are one of them, here are the top five data migration strategies that can help you maximize your ROI. 

1. Define Your Objective and Goals

First things first! Before you start your data migration process, define your objectives and set your goals. You can do so by framing a certain set of questions and finding their answers. The questions could be as follows:

  • What are the starting points and target destination of your data migration?
  • What are you aiming to achieve with this migration process?
  • What benefits are you going to ensure after or during the transfer?
  • Are you looking to improve efficiency, data security, or streamline processes?
  • Is maximizing ROI a driving factor of your migration process?

Once you set these clear-cut goals, you can mitigate any potential risks and ensure the safety of your data.

2. Perform an All-Inclusive Data Assessment

The quality of your data is important. Low or poor-quality data can impact the smoothness of your migration process. It can lead to operational delays and downtime.

On the other hand, high-quality data reduces the risk of post-migration fixes. It also minimizes the delays or disruptions to your company’s daily operations.

  • So, before taking any action, carefully evaluate your data.
  • Identify the data you need to migrate.
  • Check the quality of that data.
  • Implement quality checks through the migration process.
  • Look for dependencies or constraints in the data.
  • Now, foresee the challenges and develop a data migration strategy accordingly.

You may also take help from automated tools or data migration consultants to perform this assessment.

3. Choose the Appropriate Migration Tools

Another crucial data migration strategy is to choose an appropriate migration tool. Consider the following points when selecting a tool for your migration process.

  • Consider factors such as data complexity and volume.
  • Is there a compatibility between your source and target systems?
  • Look for tools that include a user-friendly interface and are not complex or time-consuming.
  • Find tools that speed ups and simplify your data transfer process.

No matter the tool you select, assess your options carefully. Choose the one that fulfills your requirements and resources. Find the tool that aligns with your objectives, budget and timeline. 

Investing in the right tool will yield maximizing returns on investment down the line.

4. Give Data Governance and Quality Top Priority and Make Ongoing Improvements

As discussed, poor-quality data is a big no when transferring data from one system to another. It can undermine the ROI of your migration process.

  • So first, invest your time and resources in ensuring the quality of your data.
  • Second, for post-migration, develop solid governance methods to ensure data integrity.
  • Third, plan for continuous improvement and optimizations in your data migration process.

Data migration is a continuous process that requires regular attention and refinement. And you need to evaluate your data over time to maximize ROI.

5. Continuously Invest in Training and Upgrading Skills

Learning is a never-ending process, especially when adopting new systems or processes. So invest in your employees.

  • Provide training to your teams to learn new skills.
  • Equip them with upgraded tools and knowledge to help them navigate the changes.
  • You can streamline the migration process and ensure a successful outcome by leveraging your employees’ skill sets, knowledge and expertise. 

Your team is the most valuable asset when it comes to putting in efforts to maximize ROI through data migration.

Case Study: Amazon’s Migration to Amazon Web Services

The international e-commerce giant Amazon used data migration to transfer its gigantic data infrastructure to Amazon Web Services (AWS).

Amazon harnessed AWS’s cloud computing capabilities to:

  • Enhance cost-effectiveness, agility, and scalability.
  • Handle peak demand, maximize available resources, and deliver flawless customer service.

Amazon uses customers’ browsing history and purchase behavior to recommend personalized products. The global giant has significantly improved its ROI post-AWS.

Get Maximizing Return on Investment with Augmented

Data migration is not just a move but a strategic decision. It offers businesses many advantages and far-reaching benefits. 

So, using the right tools and data migration strategies to get the most out of their data migration processes is crucial. 

We at Augmented can help you stay competitive, maximize ROI, and achieve long-term business goals. So, contact us if you don’t want to spend a fortune on data migration.