Entity Data Quality: New Approaches and the Four Categories of Data Quality Management
Legal entity data is critical to data strategy, business decisions and regulatory compliance, but it can be a challenge to ensure the data is accurate and reliable as the entity universe is large, millions of attributes change every year and inconsistent codes and symbologies identifying entities, corporate hierarchies and ultimate beneficial owners must be managed.
This White Paper, sponsored by Kingland Systems, discusses how to measure the quality of your entity data, the use of cognitive tools to identify and automatically fix incorrect entity records, and the four categories of entity data quality management – assess, remediate, enrich and maintain.
Read the White Paper to find out about:
- Challenges of entity data management
- How to measure entity data quality
- Benefits of cognitive technologies
- How to sustain entity data quality