The exponential growth of data and the demands placed on the teams who manage the timeliness, accuracy, and reliability of it has placed a spotlight on data quality. The need for real-time insight into data health has given rise to the importance of a sound data observability strategy for data-driven organizations.

Data observability is now a critical component of ensuring data quality, complementing a suite of other data quality tools such as data catalogs and others.

This research brief, written by The Futurum Group’s VP and Practice Leader Steven Dickens and Senior Analyst Dave Raffo, analyzes how data teams can better understand and scale quality and reliable data across an enterprise with the right data quality platform.

You’ll learn about:

• The relationship between data quality and data observability
• Critical components of data observability for data fabric and data mesh
• Steps to ensure your data is reliable
• Feature requirements for an effective data quality platform

Learn more about IBM Databand