Data Unification Process

Data Unification process results in better mapping of data correlations. It performs automatic data cleaning and aggregates information from various sources. The unification process eliminates inconsistencies, missing values, and errors.

Key Tasks:

  1. Handling Different Data Formats: Data unification handles different data formats efficiently, ensuring seamless integration.
  2. Duplicate Data Removal: Duplicate records with the same Account Holder ID are rejected and stored in a file labelled "Duplicate Records".
  3. Efficient Data Unification: Data unification effectively merges data from multiple sources, streamlining the data integration process.
  4. Correction of Inconsistencies, Missing Values, and Errors: Data unification processes can address inconsistencies, missing values, and errors in the data, enhancing data quality and accuracy.

Output Files:

  • Duplicate Records: Contains rejected duplicate records for further analysis.
  • Harmonized Records: Stores harmonized and cleaned data ready for further processing.

These files can be downloaded and analyzed by Data Remediation officials for further processing and analysis.

Selection Screen