Modern Data Governance: Strategies for Data Policies that Stick

As businesses become increasingly data-driven, conventional approaches to data governance that focus 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

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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.

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A Comprehensive Guide to the Data Catalog

There’s no question – data is a valuable business asset with the potential to drive transformation across your organization. But when users struggle to find, understand, and trust the data, it’s difficult to capture its true value.

Data catalogs help organizations tap into the real value that data provides. Read this e-Book to learn:

  • What a data catalog is – and the challenges it can help you solve
  • Who should be involved – and what features are must-haves – when evaluating a data catalog
  • What questions you should ask during the evaluation process

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