Data Migration

Professional data migration services for businesses accross the globe.
Challenges in data migration programs

Poor data quality:Irrespective of being aware of the data defects, new deficiencies are often uncovered after extraction.

Missing data: Mandatory fields in source systems turning out to be blank or null.

Mismatched data: Field overuse is a classic problem of incorrect data. Sometimes, two or more different domains of data can be found in one field that is repurposed after its original use becomes obsolete.

Missing data requirements: Data fields or values are not captured accurately. Business and data transformation rules are not sufficiently researched or documented to the breadth or depth necessary for consolidating multiple systems into one target.

Approach in data migration programs

Testing of migrated data from old to new systems could involve migration testing to ensure the following:

  • Migration of data that was loaded by the environment and batch jobs.
  • Cleansing and standardization of data.
  • Good quality of loaded data.
  • Complete verification of loaded data and metadata — constraints, triggers, inbuilt functions,  and stored procedures.
  • Comprehensive testing of data model and data types.
  • Good match of target system (database/reports) data with the old system.