De-risking Data Migration

Written by Jackie 'O’Dowd

Executing a data migration from one Enterprise System to another is a complex, risky process that requires careful consideration, planning, execution, and validation.

There are multiple steps involved including:

• Planning and Scoping

• Data Quality Assessment and Cleansing

• Determining the Approach and Tools

• The Data Transformation and Integration Process

• Testing and Validation

Attention to detail in each of these steps helps to ensure that the data migration is effective, efficient, secure, and successful.

It has been our experience that using data visualisation and analytics tools as part of data migration approach provides significant advantages when dealing with complex, interconnected data. Some methods tend to make hard work of mapping complex relationships and dependencies.

There are many things to think about when working through a data migration process. We tend to think its just about moving the data from one system to another. But in actual fact its much more than that. It’s about determining what data to migrate, understanding data hierarchies, ensuring that schemas align, ensuring retention schedules are aligned and privacy regulations met.

A little bit of definition work upfront means a whole lot less pain at the end.

Schedule a time with us to get started.