Funny thing about large data systems, everyone knows the benefits scale due to the application of technology, but many companies turn a blind eye to the fact that so do the risks. Complacency and arrogance (C&A) team up to teach us occasional lessons to learn from, and if the screw-up in grand enough it may [...]
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 [...]
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.
Technology workers often overlook the human element of any solution. We are quick to assemble an architecture diagram with servers, SAN space, and .NET applications; but what is almost always conspicuously missing are the people to run them and use them. These days I find it hard to resist the temptation during meetings to jump [...]
Sitting around with some developers recently and I asked why they were hesitant to embrace data governance. They acknowledged that there was good to be gained from it, but they felt they would be too constrained if they had to follow a bunch of governance rules. A woman in our group stated that they sounded [...]
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