1. Does the organization have a reusable set of data cleansing processes (automated and manual) to resolve data quality issues?
2. Is there a defined process for verifying corrections and assessing e ective- ness?
3. How does the organization cleanse duplicate records?
4. Are corrections implemented at the source of capture?
5. Are data cleansing processes followed through to analysis of root causes?
6. Have lines of business established quality thresholds and tolerance limits?
7. Has the organization deployed a consistent toolset(s) to support data cleansing?
8. Does ROI incorporate data cleansing costs?
9. Does the organization apply considerations of operational and reputational
risk to determine what data cleansing activities to fund?
10. How does the organization define, institutionalize, and monitor the data cleansing process?