DataFlux

J’accuse! Part Deux.

This blog continues the prior Francophile-themed blog on basic tips for launching a data management organization. If you missed the first blog entry last week (see my blog entry dated May 24), I quoted both Emile Zola and Victor Hugo. (There will be a test.*) You might recall that a few well-meaning blog readers had done some finger wagging at me for not addressing some of the basics of data management organizations, so I listed some initial tips for success. - Read the rest of this entry »

You assume that it couldn’t happen to you. Well, at least you hope that it couldn’t happen to you. Of course, there is always a chance that it could, but as long as it is happening to others you feel a little safe because the odds then seem to be in your favor. Besides, organizations are more careful these days, especially with all the publicity surrounding these kind of things, and you feel safer every day that it doesn’t happen to you.

So what am I referring to? - Read the rest of this entry »

I’ve gotten several well-intentioned e-mails from some blog readers who’ve accused me of targeting experienced data people. The e-mails gently suggest that I consider beginning at the beginning. They say something along the lines of…. - Read the rest of this entry »

My impression of the concept of “Business Intelligence” as I discussed in my book “Business Intelligence – The Savvy Manager’s Guide,” was to incorporate numerous approaches to increasing the actionable value of information. However, in many conversations with potential clients, it turns out that their perception of BI is largely centered on the query/reporting aspects of BI tools. While this notion may motivate the exploration of acquiring BI products within the organization, it probably won’t go terribly far in achieving the goals of a true intelligence program. - Read the rest of this entry »

One of the core problems facing business intelligence (BI) implementations today is quality results. This is not to say that BI doesn’t deliver on its promises. On the contrary, BI can deliver, but only if it leverages high quality data. Like any other tool, poor quality data will negatively impact the results of BI and could make the use of BI tools an expensive proposition. - Read the rest of this entry »

Thought I’d give you an update on the second of our three-city CDI seminar extravaganza, the CDI Executive Summit, hosted by the B-EYE Network and sponsored by DataFlux. The Dallas event was held at the Hilton Anatole hotel, and the venue was a top-floor conference room with soaring windows overlooking the skyscrapers of North Dallas. The forecast called for tornadoes, but we were left high and dry. - Read the rest of this entry »

I recently had the privilege of participating in the annual DAMA International and Wilshire Meta-Data conference in Denver. While I was only there for a few days (I co-taught a tutorial on Master Data Management), I was struck by the difference in the presented content from previous years, and I’d like to commend the organizers for their choice of topics. For example, in the past few years, there were always a lot of introductory sessions, many related to the wild, wild world of XML. - Read the rest of this entry »

The requirements for watch list compliance are relatively simple. You match your customers against government lists of suspect individuals, groups, or countries; and if any of your customers appear to be on the lists, you investigate and document the matches. - Read the rest of this entry »

I’ve been writing and webbing about CDI for a number of months now. This week I gave one of my first in-depth seminars to a cross section of Bay Area professionals interested in reconciling CDI with the rest of their data enabling technologies. - Read the rest of this entry »

I’ve been saying for years that data quality is about much more than names and addresses.

Even though many data quality tools vendors persist in focusing on customer data, there are some vendors who are considering ways to adapt their technology to account for non-party data. There’s no doubt that this maturation is in response to the growing interest in master data management programs that focus on more than just party data. - Read the rest of this entry »