This project addresses Some of the most damaging data quality issues faced in terms of financial, regulatory, and reputational impact:
Challenge Address
$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Client communication – outdated subscriber list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
Benefits
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