Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even…
Angsuman Dutta
Why Data Quality Programs Fail to Deliver Results
Fortune 1000 organizations spend approximately $5 billion in total each year to improve the trustworthiness of data. Yet, only 42%…
Autonomous Data Trust Score for Data Catalogs
With the accelerating adoption of Data Catalogs as the core component for enterprise data governance, the need to provide information…
Data Management’s Next Frontier is Machine Learning-Based Data Quality
Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As…