Listen to this article: They probably are. That’s right, I said it. Most Data Quality metrics are useless. Of course, that assumes that you have any to begin with. And by the time you finish this article you’ll agree with me. Maybe it won’t even take that long. Let’s start Read more
Listen to this article: Imagine it’s all done. Well, it’s never all done, but imagine it’s all there: definitions, expected content, data models, profiling, documentation, support processes. Everything we’ve spent so much time trying to make happen. It’s all there. What now? Take a minute and try to imagine it. Read more
Listen to this article: Corporate leadership doesn’t care about data in the same way that we do, nor should they. They don’t care about the details of Data Governance or Data Quality. Certainly not data models. They don’t (or shouldn’t) select hardware, software, or database platforms. They shouldn’t be approving Read more
Listen to this article: Last week was the DGIQ-EDW conference in San Diego. It’s one of the leading industry conferences for data professionals, focusing on practical enterprise topics like AI governance, data architecture, stewardship, and organizational strategy. If you’ve never been I very highly recommend it. My agenda included teaching Read more
Listen to this article: Do you listen to the Rock Bottom Data Feed? If you don’t, you should. It’s a serious show about data that doesn’t take itself too seriously; more of a radio program than a podcast. My co-host, John Ladley, in his monologue for the recent episode “More Fuss About Tony Read more
Listen to this article: Just over two and a half years ago, I was among those who were invited by my former employer to explore free agency and/or retirement. I knew that I still had more to say and more to share. The Reservoir of Ideas has provided that forum Read more
Listen to this article: A 2020 report published by DAMA in the Netherlands found more than 60 different data quality dimensions. Traditionally, most practitioners recognize the “Core 8”: accuracy, validity, completeness, integrity, uniqueness, timeliness, reasonability, and consistency. The one I want to focus on here is timeliness. Actually, just a portion Read more
Listen to this article: The “product” metaphor has been useful when making the point that there is more to delivering a table, file, report, dashboard, or summary than just the data itself. At this point, the definition of Data Product is pretty clearly and consistently understood. You can read more Read more
Listen to this article: Welcome back to the Reservoir of Ideas. It’s February now, so I guess that means that most of our New Year’s resolutions have gone by the wayside. Were “Become Data-Driven” or “Understand Our Data” on your list? Many years ago, I attended a Tom Peters presentation Read more
Listen to this article: We walked through the door of an otherwise unremarkable industrial park suite into a gymnasium-sized room packed full of shelves. The shelves were packed floor-to-ceiling with banker boxes. The banker boxes were packed full of documents. Back in the early 1990s, two large aerospace companies got Read more