For those about to steward data, we salute you

Data stewardship is one of the most important, and commonly misunderstood, aspects of data quality and data governance. Not only are the characteristics of a good data steward a rare combination of skills to find in an individual employee, the culture of most organizations does not nurture the development of data stewardship. It would not […]

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The truth about truth

Truth is a funny thing. And I don’t just mean how some true things are funny. A few examples include that strawberries are not berries, peanuts are not nuts, Chock Full o’Nuts coffee does not contain nuts, and the singer-songwriter Barry Manilow did not write his hit song “I Write […]

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Treat your data steward like a rock star

Every day of the year, there's a holiday celebrating one thing or another. In fact, you probably didn't know that Oct. 22 WAS CAPS LOCK DAY. Whoops. Or, if you're like me, you completely spaced on Oct. 26. It was Mother-in-Law Day. Boy, we'll be hearing about that for the […]

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Achieving persistent data governance, pt. 3: find a visionary

In the first two parts of my series (part 1 and part 2), I talked about common ways data governance projects can (and do) fail and offered collaboration between teams as a key to achieving success. In this post, we’ll examine the importance of realizing the full value of your […]

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Achieving persistent data governance, pt. 2: focus on trouble areas

In the first part of my series on ensuring data governance success, I mentioned the importance of linking different teams. Collaboration is an often overlooked, but critically important, part of having a successful project. Not only that, coordination and cooperation helps to create the right culture of data mindfulness throughout […]

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Soliciting information about enterprise reference data

The first step is establishing governance for reference data is assessing the existing reference data landscape: understanding what reference data sets are used, who is using them, and how they are being employed to support business processes. That suggests a three-pronged approach to identifying organizational business process and application dependencies […]

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Achieving persistent data governance, pt. 1: link your teams

During client conversations I often hear stories about past efforts to launch data governance that never reached critical mass and ended up being resized and marginalized. I find such outcomes fascinating... in the same vein as a car crash that causes you to tap on the brakes as you drive […]

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SAS Master Data Management: a smarter approach to a unified view

Sometimes you have to get small to win big. SAS Data Management breaks solution capabilities into smaller chunks – and deploys services as needed – to help customers reduce their total cost of ownership. SAS Master Data Management (MDM) is also a pioneer in "phased MDM." It's built on top of a data […]

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The best data governance is both invisible and transparent

In a previous blog, I wrote about the top ten fallacies of why data governance is perceived to be too burdensome and costly. Hopefully I dispelled the preconception that data governance is slower and less nimble than the today's informal data management practices. In this post, we'll examine the concept of governance […]

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Data governance for all. Or is it?

"One size doesn’t fit all" is a well-known refrain in the data governance community. Typically, this well-worn but evergreen adage is applied when discussing organizational structures. Two companies in the same industry, of like size and means, with similar objectives can take drastically different approaches for instantiating data governance within […]

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