The negative consequences of poor data quality are widely recognized, but understanding its business impact is crucial. This presentation explores the various dimensions of bad data’s impact on an organization. It outlines a method to measure the business impact of poor data quality and demonstrates how to use this insight in business cases for data quality platforms and data quality improvement initiatives.
You will learn more about:
- How to quantify the operational and financial inefficiencies caused by poor data quality
- Methods to assess the risks associated with data inaccuracies, including compliance and customer trust
- Techniques to measure the lost opportunities and revenue due to data quality issues
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