Few things are more important than having quality data that is easy to use, but simultaneously secure and compliant. Being unable to fulfill this need can result in erroneous insights and reduced customer trust.

Our latest eBook analyzes several topics related to data governance and privacy such as scalability, establishing and implementing organization-wide standards, and data lineage and traceability. Building blocks like data cataloging, automated metadata generation, and reporting are also covered alongside a discussion of how governance and privacy are related to a data fabric. A real-world example featuring ING is provided as well.

For those who want to dive deeper into data governance and privacy we’ve also recommended several solution components as part of a more holistic data and AI platform as well as additional resources such as a free trial.

Download “Data governance and privacy for data leaders” today!

eBooks for 3 other important data and AI use cases are also available:

Multicloud data integration for data leaders 

Customer 360 for data leaders 

MLOps and trustworthy AI for data leaders