Case Study

Realizing 20% reduction in operational overheads by resolving DQ issues

  • 500+ fragmented data sources of ~3000 fund reports accessed via emails & manager portals
  • No standard measurements for data completeness and accuracy
  • Constant back and forth between Data Reporting and Data Sourcing teams along with manual detection of issues
  • Manual quality checks result in heavy inconsistencies and missing data
15%
Reduction in operational vverheads

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