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 servicesLet'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.