Leading Practices For Seamless Data Migration | Yantra Inc

By Author: Yantra Inc
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STREAMLINING DATA MIGRATION
Receiving Data:
Before embarking on data migration, digital transformation companies should initiate meetings between clients and consultants to address key questions:
What data types will be imported?
Who are the data owners?
What are the data submission deadlines?
Is sample-sized data required for testing?
When will data uploads occur?
Are there potential data-related risks such as size?
Setting reasonable expectations and timelines is crucial, especially when dealing with extensive datasets. Collaboration and awareness of these questions are essential to mitigate delays and risks.
Cleaning Data:
Ensuring that the data transferred is clean is vital. The data should be meticulously reviewed to identify and resolve data redundancy, invalid syntax, missing data, and formatting issues. This phase also presents an opportunity for clients to eliminate unnecessary data. Data migration experts’ guidance in data preparation, adjusting the focus and requirements, and using templates and walkthroughs to ensure accurate input brings in efficiency and saves time by eliminating data that is not important.
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