The data catalog is a key component of modern data management programs, connecting the business to needed information to power modern analytics and self-service, support analysis of data lineage and usage, and drive data governance. Learn the best practices and discover how to get started with this course from Claudia Imhoff.
Conference Replay | Digital Course Book Included
Data, reports, analytics everywhere—and no way to find them!
I hear this from many organizations suffering from an “embarrassing” wealth of analytics products. Unfortunately, because these products are all over the place and often hidden from business users and analytics implementers, the products get re-invented over and over. This dysfunctional situation causes wasted effort, time, money, and confusion—to say nothing of the redundancy in data and analytics.
Although certainly not a silver bullet, a sophisticated data catalog can mitigate this chaos. Business community members can quickly find the data and analytics they need. Implementers can identify existing products as quickly and eliminate much of the redundancy. Both groups can easily identify existing redundant data and analytics and begin to clean up their environments.
You Will Learn
- What a data catalog is and why it is needed
- Benefits from a data catalog
- Case studies of organizations implementing a data catalog
- Best practices in the implementation of a data catalog
- Steps for getting started
Continuing Professional Education Credits: 4
Apply these credits toward your CBIP recertification. Not certified? Learn more about CBIP and how to get certified here.
Claudia Imhoff, Ph.D.
A thought leader, visionary, and practitioner, Claudia Imhoff, Ph.D., is an internationally recognized expert on analytics, business intelligence, and the architectures to support these initiatives. Dr. Imhoff has coauthored five books on these subjects and writes articles (totaling more than 150 to date) for technical and business magazines.
She is also the founder of the Boulder BI Brain Trust (#BBBT), a consortium of 250 independent analysts and consultants with an interest in BI, analytics, and the infrastructures supporting them. If interested, please go to bbbt.us for more information.