Data Migration
Definition
Data migration is the process of transferring existing records — student profiles, academic histories, fee ledgers, and staff data — from one storage system (paper, spreadsheets, or legacy software) to a new school management platform, including the cleaning, formatting, and validation required to ensure accuracy.
Full Explanation
Data migration is a structured technical and operational process that moves institutional data from its current home into a new software platform in a form that is accurate, complete, and consistent. In the school context, a migration project typically involves extracting student records from paper files or Excel spreadsheets, standardising data formats (dates, phone numbers, name capitalisation), removing duplicates, filling critical gaps, importing the cleaned data into the new system, and validating the result against the source. The scope of a migration decision — how many years of historical data to migrate, whether to include alumni, and how to handle incomplete records — significantly affects both the timeline and the quality of the outcome. Data migration is widely acknowledged as the highest-risk phase of a school management system implementation: errors made during migration can cause incorrect report cards, wrong fee balances, and loss of student history. Best practice is to run a test migration with a sample dataset, validate it thoroughly, then run the full migration during a low-activity period (school holidays), followed by a formal sign-off from school administrators before going live.
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