Category: Data Quality

5 Simple Criteria to Determine What to Govern

With increasing frequency, people are asking, “what is a simple solution to data governance?” They, and likely you, are looking a silver bullet to bring order out of chaos. The ironic part of the problem is that it is not a new problem; rather it is an old recurring problem with a new name. What [...]

Data Steward v. Data Custodian – What’s in a name?

Some time ago, on a project far, far, away, we spent a good deal of time trying to define roles around data governance. We recognized that both the business and the technology teams were key contributors in our fledgling data governance program. What was proposed was that Data Stewards were on the business side of [...]

A Simple Choice

Right now many enterprise data producers behave like monopolies. They set the standards for what they produce and the downstream applications have no choice but to take what they get. This is a fundamental problem with most enterprise data architectures. This behavior encourages chaotic environments and cost business billions of dollars in wasted effort.

Innovation via Data Governance

To some people, Data Governance and innovation seem like contradictory  subjects. A perception exists that governance as a whole squelches innovation. That may be the case if a data governance program is poorly implemented and attempts to police the data environment with unyielding zeal. If another approach is taken, then data governance can become the [...]

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