The Balance of Terror: Modeling Balances as Transaction Data or Reference Data?

When recently pondering how balance data should be modeled, I was reminded of my favorite Star Trek episode, The Balance of Terror. Those sneaky Romulans had crossed the neutral zone and were destroying Federation outposts. Naturally, only the Enterprise was close enough to intervene. Read more

Single Versions of the Truths

I just finished reading a blog by Forrester’s Connie Moore, “Do You Have a Single Version of Process?” on the Information Management website.  Read more

Big Data or Big Problems?

Several weeks ago I attended The Wells Fargo Tech Conference, a gathering of industry leaders and investors who get together to understand the latest trends in technology. The presenters were incredible; John Chambers of Cisco, Safra Catz of Oracle, and lots of 2nd and 3rd generation entrepreneurs. Read more

This Post Is Not About Big Data

Big Data is clearly the buzzword du jour in the information management space right now. I read a great article by Jim Ericson a few days ago where he talked about the hype around big data and how vendors, consultants and analysts have glommed on to (my word) the term and its pervasiveness in all topics information management. Read more

Lost in Translation

Recently, I wrote about treating a data process as the business process that it truly is.  The premise was that we must look at data management processes in a more structured way.  By spotting repeatable patterns and looking for opportunities to automate some of the mechanical aspects of the process, we can create opportunities to optimize process and improve performance. Read more

A Data Process is a Business Process

Businesses have long sought to optimize core business processes to ensure maximum business performance.  IT departments have supported the cause by building systems to automate many of the mechanical aspects of these processes ensuring repeatable, efficient execution of operations.  These same IT departments, however, have continued to use traditional labor-intensive methods of building many of the key components needed to support the rapidly growing and changing face of the business. Read more

See you on Google+

Some of you may have seen I tweeted last week that I deactivated my Facebook account after learning that Facebook had uploaded all of my contact information from my iPhone. Not only does my iPhone contain my personal contacts, but my business contacts as well, over 1,500 entries.  I am incredulous that Facebook would so blatantly violate privacy; and for me this was the step too far. Read more

Is Data Quality Dead?

At the Gartner MDM Summit this spring, Ted Friedman pronounced that the Data Quality Magic Quadrant would probably disappear soon. (I’m sure an analyst of Ted’s caliber will find a new Magic Quadrant to own.) Recently, I was on the panel of the TDWI MDM/Data Governance/DQ Super Webinar. Another panelist and a respected figure in data management expressed a similar sentiment. Is data quality dead? Read more

How to Measure Data Accuracy?

(Updated October 2018) If you believe that better data quality has huge business value, and you believe the old axiom that you cannot improve something if you cannot measure it, then it follows that measuring data quality is very, very important. And it’s not a one-time exercise. Data quality should be measured continuously to establish a baseline and trend; otherwise continuous improvement wouldn’t be possible. Read more