Enterprise Data Quality Management Implementation: Google Cloud & Open Source

Challenge this project addresses.

Some of the most damaging data quality issues faced in terms of financial, regulatory, and reputational impact:

  • $4M orders missing from trading report
  • Pricing – incorrect product prices on website
  • Client communication – outdated subscriber list
  • Customer analytics delayed due to lack of cross-channel reconciliation
  • Lost productivity for analysts


  • Enterprise Data Quality Scorecard provided MIS interfaces for insight and oversight
  • Causal Analysis Reports helped identify weak areas and causes of data quality issues
  • Financial and reputational impact due to low data quality was mitigated
  • Business stakeholders could be assured that data will be complete, accurate, timely, and suitable for business decision making, communications, and reporting; they were able to have a forum to report and receive service for data quality issues
Current Opportunities