Steps involved in Transformation
The data transformation phase undergoes many sub-processes with the help of AI.
Data enrichment
Consolidates first-party data from internal sources with third-party data extracted from multiple external sources.
Deduplication
Deletes extra copies containing redundant and overlapping information and stores only one golden copy of the data.
Verification
Examines the data for any inaccuracies or inconsistencies once the data migration process is completed.
Integration
Combines data residing in multiple sources/locations into a single, exhaustive dataset for a unified view.
Cleansing
Removes and fixes any corrupt, inconsistent, inaccurate, or incomplete data within a dataset.
Aggregation
Compiles information from various databases and presents it in a summarized format.
