Organizations rely on accurate ERP master data for reporting, operational efficiency, and decision-making.
This project analyzes ERP data quality issues and identifies critical areas requiring governance improvements and corrective action.
The analysis was performed using:
- 7,454 ERP data quality issues
- 17,000+ master data records
- Product master data
- Customer master data
- ERP error reports
- User survey data
The project focused on:
- Severity analysis
- Root cause analysis
- Concentration analysis
- Business impact assessment
- Governance evaluation
- 82% of identified issues related to data completeness
- 6,355 high-severity issues identified
- Major concentration of issues in one operational site
- Missing customer and origin data affected reporting and traceability
- Increased manual correction effort
- Delayed reporting cycles
- Reduced reporting reliability
- Lower confidence in business decisions
- Higher operational inefficiency
- Strengthen master data governance
- Improve mandatory field validation
- Define ownership responsibilities
- Introduce continuous monitoring
- Standardize data entry practices
| Tool | Purpose |
|---|---|
| Power BI | Dashboard development |
| SQL | Data analysis and reporting |
| Excel | Data validation and exploration |
| ERP Data Quality Reports | Error identification |
| Root Cause Analysis | Problem investigation |