Your Personal Checklist for A Successful Data Migration

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Data migration is not only one of the most expensive and stressful parts of any conversion process but also is the most important conversion among others like interface and technology. Here is a checklist for you to perform a successful data migration.

Create a common language for data

Most of the times it happens which the technology of the data model changes with time. This can cause a communication gap in terms of the language of data between the old team and the team working on a different data model system. Hence, it is very important that there should be a common language for your data so that anybody can understand that format.

Data cleansing should be done in the source system

The process of data migration includes the transportation of the records from the old system to the new system. Due to the old fashioned way of design, the data from the old system doesn’t fit into the new system. This requires some rectifications. The one option for rectifying the data is during the migration, but it takes a lot of time and slows down the process of migration. On the other hand, cleansing the data in the source system is the best approach to avoid any issues.


Manage the tables

The tables need to be managed properly. The best way of doing that is creating a list of the tables, which you want to migrate, and grouping them according to their weight, count, size, and functional topics. Find the prime spots of the migration by counting the rows and columns. Creating a map of the data is also a wise idea to get a better understanding of reports, documents, and interfaces.

Get in touch with all the relevant people

Instead of just consulting with some of the main departments of the business, try meeting all the relevant people, who can affect the migration project. This will bring a smooth flow in the whole process. It is also advisable that you get in touch with some company that provides oracle migration services for relevant projects.

Test the migrated data

The main goals in the process of data migration are the quality of the data and the quantity of data migrated from the old system to the new system. Keeping an eye on both the aspects is really important for a successful migration process. Hence, make sure that the testing of the data’s quality and the number of entries are taking place time to time.

Analyze the records to reduce the load of the migration

The most effective way to successfully follow the process of migration is by analyzing the records to eliminate those data which are not being used very frequently. In order to justify your point, use data volumes, heat maps, and time stamps.

Lastly, it is very important that you plan your new system keeping the future migration in mind. Also, make the migration plan which not just looks great theoretically, but also suits the type of data to be migrated.

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