Modern Data Governance: Strategies for Data Policies that Stick

As businesses become increasingly data-driven, conventional approaches to data governance that focuses solely on operating models and org charts no longer work. Instead, organizations must shift their mindset by focusing their governance program on aligning data policies with business goals.

In this Eckerson Group report you’ll learn:

  • What the weaknesses of traditional governance programs are – and why a business-oriented approach is better
  • Which best practices organizations should implement when rebooting their data governance strategies
  • Why tools enable data governance, but don’t drive the program

Request Free!

Artificial Intelligence: Why Humans (Still) Need to Apply

As artificial intelligence continues to take over tech, sometimes it’s hard to remember that humans still have a seat at the table. And we should. While algorithms simplify and automate processes to make them smarter and more efficient, where is this intelligence coming from? The answer: data.

An algorithm depends on data to teach it right from wrong. So if the data you’re using is insufficient, inconsistent, poorly defined, or biased, the algorithm is going to be flawed. Read this e-book to learn how data governance can help improve your AI.

Request Free!

From Self-Service to Data-Driven

Using the term “metadata management” when engaging the business about data is the wrong approach. It makes becoming data-driven sound primarily technical, but it shouldn’t be. While full-time architects and analysts are crucial roles, they need business data stewards to be the primary driving force in creating and maintaining the data. That means they need a technical solution designed for the business user.

Download this TDWI Checklist Report to learn six tactics that can help ensure your business gets value from your analytics investment with the help of a data catalog.

Request Free!