Improve the Data Quality and omnichannel experience for their consumers. Automate multiple source data processing using a single platform. Need to maintain a single source of truth by matching and merging the duplicate records. Managing future data enrichment in a robust and faster way.

Improve the data quality along with compliance with regulatory requirements. To integrate data from different data sources into one common platform, silos data center. To implement data quality checks for the provision of precise data considering the key DQ dimensions like correctness, completeness, integrity, and consistency. To implement DG for trust index score, in- return, identify the good data, and rejected data.