Rules For Successful Data Migration

(1) Clearly define the scope of the project

(2) Actively refine the scope of the project through targeted profiling and auditing

(3) Profile and audit all source data in scope before writing mapping specifications

(4) Define a realistic project budget and timeline, based on knowledge of data issues

(5) Secure sign off on each stage from a senior business representative

(6) Prioritize with a top down, target driven approach

(7) Aim to volume test all data in scope as early as possible at unit level

(8) Allow time for volume testing and resolving issues

(9) Segment the project into manageable, incremental chunks

(10) Keep total focus on the business objectives and cost/benefits throughout.

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