There's an old statistical phenomenon which states that in listings of numeric data, the first digit of about 30% of the numeric values should start with the value of 1 (and ~17% should start with the number 2, 12.5% should start with the number 3, etc...). The phenomenon is known
As Beth Schultz recently blogged, Data Visualizations Beg Your Attention. And as Noreen Seebacher recently blogged, A Picture Explains a Lot of Data. Although I agree with both concepts, and I recommend reading more than just the titles of those posts, I couldn’t help but wonder if what should be begging more
In my previous post, I pondered how the inevitable lag time between the definition of requirements and the delivery of solutions is exacerbated by the business world fluctuating dramatically in short periods of time. Today’s business requirements may not only be different than yesterday’s business requirements, but today’s business requirements
As Steve Jobs once said: “You can’t just ask customers what they want and then try to give that to them. By the time you get it built, they’ll want something new.” The inevitable lag time between the definition of requirements and the delivery of solutions is perhaps the primary reason
It has been a while since I shared a story about DQ-IRL (i.e., Data Quality in Real Life, a few of the past stories included The Seven Year Glitch and Data Quality, 50023). While listening to a recent broadcast of NPR’s weekly news quiz program Wait Wait... Don't Tell Me!,
When I first thought about writing a blog post about data management, picking a topic was an obvious, if daunting, first step. The challenges facing both IT and business are increasing in the era of bigger, more complex and more immediate data. My experience working with organizations across a variety
2013 is rapidly approaching and everyone is focused on change, whether it's a shift in your current role, a New Year's resolution or a new business plan. Similarly, organizations are looking at their master data management (MDM) strategy with an eye on the accompanying change management. There is a shift towards a
Joyce Norris-Montanari declares this the perfect time to prepare your data for 2013. See what her plans entail.
Blogger Dylan Jones offers 3 tips for more effective data profiling.
Jim Harris (@ocdqblog) reveals the Seventh Law of Data Quality.
