Trustworthy data is foundational for business success, informing decision making, machine learning and AI. So, what is the current state of data quality in the enterprise? Find out in this roundtable discussion, featuring experts from TDWI, erwin® by Quest®, SAP and more.
They’ll discuss TDWI’s data maturity model assessment that revealed interesting trends, including the level of business commitment in prioritizing data quality, how mature enterprise data quality practices really are and more. You’ll also gain insights to ensure data accuracy, completeness, reliability and relevance.
You’ll learn how to:
- Maintain robust data quality
- Collect and report the most important metrics of data quality
- Scale, automate and govern data quality
- Incorporate data quality management discussions into your data literacy training programs