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- Client communication – outdated subscriber list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
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