Category: Data Migration

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

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

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

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

Manual Data Migration: What is it?

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

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

Things you will have to perform with manual data migration: 

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

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

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

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

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

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

Manual Data Migration: The Advantages

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

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

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

Manual Data Migration: The Disadvantages

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

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

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

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

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

Automated Data Migration: What is it?

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

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

For example

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

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

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

Automated Data Migration: The Advantages 

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

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

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

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

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

Automated Data Migration: The Disadvantages

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

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

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

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

Automation Vs. Manual: The Difference

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

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

Dig in to decide your best fit.

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

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

Top 5 Reasons Automated Migration is Better

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

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

1. Accuracy and Data Integrity

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

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

2. Enhances Security 

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

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

3. Consistent and Reliable 

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

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

4. Scalable

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

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

5. Saves Time and Money

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

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

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

Wrapping Up

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

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

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.

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.

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.

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.

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.

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.

Imagine losing business functionalities during data migration; slow-to-respond systems can easily frustrate your employees and customers. 

In the blink of an eye, downtime during data migration can become a nightmare for your organization. It will lead to monetary losses and operational disruptions in your overall business.

However, understanding the cause behind the downtime and finding solutions for a nearly zero downtime database migration can be key to a successful data migration. 

So, dive in to learn how to balance data migration while avoiding lengthy service interruptions.

Take Control of Your Data Migration Downtime

Moving data from one premise to another can be tricky for any organization. However proper planning and execution can eliminate almost all data migration problems, including downtime. 

You might be curious why problems, like downtime, occur during migration processes. But before understanding its causes and solutions, let’s look at what it actually means.

Understanding Downtime During Data Migration

Downtime during data migration happens when a system is unavailable to the user for a significant period. 

 

Example

Let’s say you are on a streaming platform, and it suddenly stops working. This happens because the company is performing data migration for its platform. The sudden halt in service is called downtime, during which customers cannot use the service or access the data. 

From a business perspective, employees face downtime when the company upgrades its data or moves to new servers. This allows employees limited or no access to files and information for a restricted time.

So, can this be avoided is the question? Yes, this brings in the concept of database migration without downtime. 

Let’s see what it means.

What is Zero Downtime Database Migration?

A zero downtime database migration refers to transmitting data from one database to another without experiencing downtime or disturbances. 

It assures that you upgrade your system or migrate data without causing inconveniences to your clients or operations. 

Let’s say data migration is taking place for an online shopping app. At the same time, a customer is using the platform, but witnessing zero disruptions.

How? Zero downtime database migration allows the apps to transfer their data without affecting the customer’s ability to browse, search, or purchase.

From a business perspective, an organization can seamlessly transition to a more advanced database with almost zero downtime. The shift will ensure a smooth workflow for the company’s employees. 

So, a database migration without downtime is like running your software smoothly in the foreground while you upgrade and transfer the data behind the scenes.

Top 5 Reasons for Downtime During Data Migration

Even a short amount of downtime significantly impacts businesses and organizations. It can affect not only your revenue but also your reputation and people. Thus decreasing productivity and affecting customer trust. 

So, to achieve data migration without downtime, you need to eliminate its causes. 

Numerous factors affect downtime during data migration. Consider these five reasons and see what impacts your migration process.

1. The Volume and Complexity of Data

The bigger your database, the longer it will take to migrate it. Moreover, the complexity of the data you want to migrate also stretches the migration process. 

Thus, the size and complexity of your database directly impact the time it takes to complete the process – bringing substantial challenges during migration and resulting in downtime.

2. Network Connection/Technical Issues

If you plan to migrate your data over a network connection, interruptions or failures in the connection can disrupt the entire process. Thus, a limited bandwidth delays the migration process, leading to downtime.

Moreover, other technical issues or incompatibility between the source and target systems can hinder a seamless data transfer and impact downtime during data migration.

3. Data Structure and Code Change

Data migration can result in downtime if your migration process includes changes in the database schema. Database schema can include changes, such as adding or removing rows and columns. 

Furthermore, the migration might need changes to its application code for a new database. In this case, you will have to take the application or software offline during the data migration process.

4. Validation and Verification of Data

Validating and verifying the data transfer post-migration is crucial to ensuring factors such as data accuracy and completeness. The verification and validation process is crucial yet time-consuming, leading to another reason for the extended duration of downtime.

5. Backup and Restoration

You would inevitably want to take a backup of the source database before you start the migration process. The backup process can be resource-intensive and affect the overall system. 

Moreover, the backup on the target system can also take notable time, resulting in system downtime. 

Strategies & Techniques to Minimize Downtime During Data Migration

In today’s digital business world, achieving zero downtime during data migration is critical. 

Why?

Because your customer won’t take time to switch to a different platform that offers similar services or products. 

Therefore, you need to minimize disruptions during the transfer and keep your services available to your customers. 

Data migration without downtime is nearly impossible. However, there are ways in which you can minimize or reduce the downtime. 

So, to help you achieve this, here are a few strategies and techniques for performing data migration.

Strategy 1: Simplify Your Data

Simplified data is easy to transfer, understand and manage. If you simplify your data before migration, the downtime during data migration will significantly decrease. 

• The data migration process can be streamlined by simplifying the data. 
• Simplification will reduce the overall volume of data, including redundant or outdated data, speed up the data migration process, and decrease downtime.

Strategy 2: Optimize Your Data

Data optimization is similar to simplifying data before migration. It includes decreasing file sizes, compressing data, or altering it into efficient formats.

• Efficiently organizing and optimizing your data helps you reduce the processing time during migration, minimizing system shutdowns and downtime risks. 
• Once you optimize your data, you can focus on prioritizing and transferring critical data. Migrating high-priority data can reduce the impact of downtime on necessary functions.  

Thus, simplifying and optimizing your data pre-migration can help you achieve almost zero downtime during database migration.

Moving on, here are three techniques you can use to considerably minimize downtime during data migration processing. 

Technique 1: System Blackout

System blackout or offline copy migration is a very uncomplicated process. You need to follow three simple steps –

• First, bring down your on-premise application.
• Second, migrate your data from the on-premise database to the new cloud database,
• Finally, post-migration, bring your application back online.

Benefits: This method is straightforward and secure for organizations that can handle a little downtime. Moreover, with a manageable dataset, transmitting data to the cloud is easier and less expensive.

Drawback: Migration takes place only when your application or system is offline. If you have a big dataset, shutting down the system may lead to downtime. 

Technique 2: Master x Read Replication Migration (Switch Migration)

The purpose of Master/read replication migration or switch migration is to reduce the application downtime while keeping the migration process simple. Below are the steps you need to follow:

• Start with the master version of your database hosted by your on-premise data center.
• The second step is to create a read replica copy of your database in the cloud. You can do this with one-way synchronisation of data from your on-premise master to the read replica in the cloud.
• Finally, the updates and changes you make to your data available on the on-premise master synchronize with the changes to the cloud-based read replica.
• This process continues even after your data migration has been completely done. 
• Later, you can switch the roles of the master dataset and the replica dataset. Therefore, the cloud dataset becomes your master, and the on-premise dataset replaces the read replica.

Benefit: The downtime required for the migration process is significantly shorter than the first technique.

Drawback: A brief downtime period is needed during the switching of datasets. 100% zero downtime won’t be achievable. 

Technique 3: Master x Master Migration (Synchronization Migration)

Master/master or synchronization migration is the most complicated technique of all three techniques. Here are the steps to follow:

• Step one is to create a multi-master database configuration by duplicating the on-premise database in the cloud. 
• This lets you synchronize all data from on-premise to the cloud and vice versa. The method is called bidirectional synchronization between the two masters.
• Once both the datasets are in sync, you can read, write or make changes to either, i.e., on-premise or cloud dataset. The changes will be synchronized on both masters.
• Meanwhile, if you experience downtime during migration, you can minimize it by running the application on both datasets. 
• To reduce downtime, you can redirect your application traffic to the cloud. If you experience any problems on the cloud, you can switch to on-premise while you troubleshoot the problem.
• Once the migration is complete, switch off the on-premise dataset and use the cloud master.

Benefit: You can move your applications and services independently without concern about the data. It is one of the most streamlined and sorted methods if you can manage to handle its complications.

Drawback: Setting up a multi-master database is tricky and has its own intricacies. If not managed properly, it can lead to inaccurate data and other synchronization-related issues. 

Each method has its requirements and impacts based on the amount of data you possess. So, choose the one that suits you best.

Conclusion

Minimizing downtime during data migration is a crafty job. It can certainly be avoided by requiring proper planning, execution, and techniques. 

You can always pre-plan your migration process and perform at the most suitable time for your organization, incorporating your customers and employees.

If unsure, consult data migration companies and experts like us at Augmented Systems.

Globally, data is created and transmitted at a lightning-fast speed. And regardless of the size, data is the lifeblood of every organization or business.

As the organization or company grows and modernizes, the need to migrate and manage its data comes into play.

However, data migration is fairly demanding and often vulnerable to human or machine errors. As a result, it can affect the cornerstones of data migration – Data integrity, security, and confidentiality.

So, let us help you ensure that your data is managed and transferred effectively. Dig into this blog post to discover effective methods for maintaining data integrity and data security during data migration. 

What is Data Integrity and Why is it a Significant Factor in Data Migration?

Data integrity is maintaining the data’s accuracy, consistency, and validity during data migration processes. 

By prioritizing data integrity, you can confidently make critical business decisions, knowing your data is secure.

Let’s imagine an organization transmits data from its old system to a new one. Without data integrity, the organization is risking losing its important information. Moreover, it compromises data security.

The importance of ensuring data integrity and quality enriches exponentially as the amount of data increases for any institution.

Of course, data integrity may come with some risks. These risks may include:

• Human Errors – Data can be accidentally deleted or altered, such as entering wrong customer information.
• Transfer Errors – Data can be lost or damaged during data migration or transfer. For instance, data is transferred to the wrong destination or storage device.
• Malware, Hacking or Cyber Threats – Data can be hacked and destroyed, resulting in a complete loss of data integrity and data security. 

Data integrity loss can result from minor to major catastrophes for your business or organization. Thus, data integrity, security, and confidentiality are the pillars of data migration to harness the complete potential of your customer’s data.

Top 8 Must-Haves for Ensuring Data Integrity During Data Migration

If not done rightly, data migration can significantly impact your business operation if not addressed with caution. You cannot afford to lose your company’s critical information, hence data integrity comes into play. 

No matter what technological changes you make, data integrity instills confidence and enhances operational efficiency. Ultimately safeguarding the integrity of your business or organization.

So, let’s explore the eight best strategies for seamless and successful data integrity.

1. Intensive Planning

Comprehensive planning guarantees data integrity in migration by minimizing errors, maintaining regulatory compliance, and securing a seamless transition.

For example, an organization plans to transfer its customers’ transaction data from an old system to a new system. To ensure data integrity, the organization would:

• Analyze the existing data. 
• Access and ensure the data quality.
• Map rules to align old and new data structure 
• Implement validation checks.

Planning will not only safeguard your data from theft but also preserve the integrity of crucial information throughout the migration process.

2. A Comprehensive Data Migration Strategy

Developing a well defined data migration strategy is crucial during data integrity. A proper strategy ensures:

• A seamless transition
• Minimises downtime,
• Reduce the risk of errors and
• Of course, maintains data integrity

How? You can select an appropriate migration method and develop precise data mapping. A data migration strategy will harmonize the migration and mitigate disruptions throughout the process.

3. Data Mapping

Data mapping ensures accurate and consistent transfer of information from one system to another. Your data may be lost or misinterpreted without proper planning or mapping.

For example, a company can use data mapping when upgrading its customer relationship management (CRM) software. Data mapping will help match and migrate customer data fields, like names, addresses, and contact details, to the new system.

No organization would want to compromise data integrity, which is where data mapping comes in.

With data mapping, you can maintain consistency and reliability across platforms. Thus ensuring data integrity, security, and confidentiality throughout the migration process.

4. Data Backup Before Initiating Data Migration

Data backup is crucial before initiating data migration to safeguard against potential data loss and corruption during data migration. 

Let’s say a financial institute upgrades its core banking system. The institute fails to back up customer accounts, transactions, or financial records. Now, during migration, there is a system failure. Will the institute be able to restore everything that’s lost? No! 

Without backup, the financial institute faces data loss, monetary loss, and regulatory violations. Data backup ensures accuracy and security.

5. Data Cleansing and Transformation

Clean your data. Why? To improve efficiency, ensure data quality, and enhance smooth transitions.

How to clean your data? Eliminate duplicates, outdated, and irrelevant data from the system pre-migration.

Let’s say a retail company migrates its inventory from an old system to a new management system. If the store removes duplicate entries, corrects inaccuracies, and standardizes the formats, it ensures the quality, accuracy, and consistency of data being transferred between systems.

Moreover, to ensure compatibility between the source and target systems, transformation aligns data structures and ensures compatibility. 

6. Testing and Validation

Perform regular tests and validate the data for all data migration steps. Testing and validation of data maintains data integrity during migration as they pre-identify and rectify potential errors.

For instance, a healthcare organization plans to migrate patient records to a new system. Testing ensures that patient demographics, medical histories, and treatment plans are accurately transferred. Validation ensures that data remains consistent and complete across systems.

Post-migration auditing and testing also play a crucial part. Furthermore, continuous and periodic testing improves current and future migrations.

7. Encryption and Security

Data security is essential in protecting sensitive information from unauthorized users, data breaches, and more during data migration. 

For instance, healthcare companies encrypt sensitive customer data during cloud migration using AES-256 encryption before transmission.

You can implement appropriate encryption methods for the security of your data. Encryption could include using strong passwords, restricting data access, masking sensitive data, and HTTPS protocols.

8. Post Migration training, Awareness and Review

Post-data migration review is another essential step to validate the success of your data migration.

Post-migration training, awareness, and review address lingering issues and ensure the new system is operational and functioning as expected. 

Let’s say a manufacturing company has migrated its production data to a new ERP system. 

Post-migration training will familiarize the employees with updated workflows. 

Post-migration awareness will enhance the importance of data integrity.

Post-migration review will help address sudden or emerging issues promptly. 

Depending on your organization’s needs, you can also conduct feedback sessions and ask for reviews from end users for better data integrity. 

Data Integrity: The Core Pillar 

To thrive in this competitive market chaos, you must undergo a digital transformation for your data. 

Ensuring data integrity during data migration is not a picnic for everyone. It would help if you had experts; having the right support is vital, from planning, mapping, and cleansing to testing and training.

We at Augmented Systems, can help you transfer your data with utmost integrity, security, and confidentiality.

Data migration services and management are not a cup of tea for anyone. Moreover, it comes with a crippling series of misconceptions and challenges.

Organizations can eliminate tedious and repetitive tasks by automating data migration services, reducing costs and saving time. 

So, you are at the right place if you’re looking to automate your data migration services. Let’s get started.

Challenges of Traditional Data Migration

Data is the heart and soul of businesses and organizations, but it is skyrocketing. Based on recent estimates, a total of 328.77 million terabytes of data is generated daily. 

Now imagine effectively migrating this ever-growing volume of data between systems. Not a cakewalk! There are data migration challenges, especially with traditional data migration solutions.

Let’s look at how traditional data migration practices wrestle with complexities:

• Maintaining Data Integrity: Data integrity is vital for any company as it travels across systems and is susceptible to alterations and data loss. 
• Downtime: Migrating considerable amounts of data can result in system downtime. Leading to overall productivity loss for an organization or business.
• Data Loss: Data loss is always possible during data migration services without proper data backup. 
• Compatibility: What if the new and old systems are incompatible enough during data integration? 
• Scalability: With the amount of data growing rampantly, it is only getting harder for organizations to manually manage and scale the data. 

Traditional data migration solutions demand a series of time-consuming tasks with their own set of challenges. 

Of course, there are data migration consultants and migration methods to help; however, they are all prone to human errors and inefficiency. 

Why Automation and What are its Benefits?

The data migration market has been evolving. The traditional data migration methods hold promises but come with limitations. 

According to the studies between 70% to 90% of data migration projects either fail or run over budget. This is when automation of data migration services comes into play.

Let’s understand how automation can be efficiently included in data migration with a few examples.

1. Extracting Customer Data from a Legacy CRM System: During data migration, you can use automated scripts or tools to extract the necessary data from the on-premise database.
2. Transformation of Data: Automation scripts or tools can automatically perform necessary changes during data migration to enhance system compatibility. For example, the source system stores the date in the “YYYY-MM-DD” format. In that case, automation can perform the transformation and store it in a different format as the target system requires. 
3. Automation Scripts can Log Errors: Automated system uses error-handling mechanisms. Automation can locate missing or invalid values, log errors, and skip problematic records.
4. Automating Data Loading: You can automate loading data in the new system, such as adding new records or updating the existing data. 
5. Automating Testing and Validation: Organizations can automate the testing and validation of processes with automation tools during different stages of data migration.

Other tasks and processes that can be automated during data migration, include automated data mapping, automated replication and synchronization of data, real-time monitoring, and so much more. 

Hence, automation is the groundbreaker in the world of data migration. 

What are the Benefits of Automation?

Automation simplifies the manual data migration process from start to finish. It also automates repetitive tasks, helping organizations harness the limitations of traditional data migration solutions. 

Let’s have a look at some benefits:

1. Speed and Efficiency:

• Do you know that data analysts spend approximately 80% of their time cleaning and managing data? 
• With automation, you can give a boost to your data migration process. 
• Tasks that could have taken a week can now be implemented in a reasonable time frame.
• Reducing downtime for business processes and maintaining productivity.

2. Cost Effective:

• With a minimum requirement for manual interference and resource allocation, automation saves the overall data migration cost. 
• Organizations can optimize resource utilization and reduce labor costs in the long run.

3. Accuracy and Consistency:

• According to a report by Oracle, over 80% of data migration projects end up as failures. With automation, organizations can ensure greater accuracy and consistency. 
• During data migration, automation can extract data, and transform and validate tasks.
• Automating the process eliminates the risk of human error.

4. Flexibility and Scalability:

• Automating the process of migrating data can efficiently manage migrations of varying sizes and levels of complexity.
• Automation can meet organizations’ demanding and evolving needs, providing unparalleled flexibility and agility.

5. Risk Mitigation:

• Automation enforces standardized processes and procedures to help mitigate the risks associated with data migration. 
• Organizations can minimize errors and disruptions in operations by automating data verification and error-handling tasks.

These are a few of the many advantages that come with automation. Overall, automation helps make the data migration process efficient, precise, and fast. Moreover, it delivers a superior result at a subsided cost.

Top 5 Ways to Improve Data Migration Services With Automation

By leveraging automation for data migration, you can unlock new levels of efficiency and accuracy. So, ready to level up your data migration services?

Let’s explore these top 5 ways to improve data migration services using automation. 

1. Pre-Migration Planning and Evaluating

Organizations can ensure a seamless pre-migration assessment and planning process. Automated tools help analyze the source data structure, identify dependencies, and determine the optimal migration process. 

Automation generates optimized data migration plans based on predefined rules and best practices tailored to individual and organizational needs. 

2. Data Backup, Recovery, and Archiving

Data backup, recovery, and archiving are crucial factors when managing or migrating data. Automation makes this process easy, reliable, fast, and more efficient. How? Automation appropriately sets up backup schedules, restores files, and controls the overall migration process.

It also ensures that data is protected and recoverable automatically. Also, data archiving with automation is simplified, as predefined rules and policies exist. 

3. Data Tiering, Duplication and Compression

Automation helps organizations intelligently manage data tiering. It automatically moves less frequently used data to lower levels of tiers. 

This process significantly lowers the storage cost and helps boost data migration performance. Furthermore, duplication is prone to happen with enormous amounts of data. 

Automation identifies duplicate data and eliminates or compresses it. This reduces storage space requirements and optimizes the data storage efficiency.

4. Data Governance and Security

For every organization, compliance regulations for data management vary. Automation helps simplify and monitor the data governance policies according to the industry requirements.

You can maintain data integrity, meet legal requirements, and prepare for audits with automated data migration tools. Organizations can also end the stress of worrying about data discrepancies.

Automated data migration tools are equipped with built-in encryption, which secures the transmission process. 

Moreover, with automation, you can rest easy knowing that data is always secure and accessed by authorized personnel only. 

5. Overall Monitoring, Alerting, and Error Handling

Automated data migration tools help with the overall monitoring of the data migration services. It helps implement robust error handling and recovery mechanisms for issues arising during migration. 

Automation also alerts the system in advance and reports issues or problems that may arise.

Moreover, automated error-handling algorithms can identify anomalies in the data. The inconsistencies or anomalies are recorded automatically, ensuring the migration process continues without interruption. 

Wrapping Up

As we look ahead, the future of data migration looks exciting. Adapting to the changes is the key to continuous data flow with reduced interruptions, cost savings, and time utilization.

Furthermore, in this ever-changing digital world, we at Augmented Systems are always there to support you in your company’s growth with our top-notch data migration solutions.