data quality
Does Data Quality Matter in Social Media?
"So, where is data quality necessary? Having a single customer view that is inclusive of social media profiles and engagement. At some point, us B2B marketers do need to move relationships out of the 2.0 world and into face to face engagements, particularly for complex sales. At this transition point, the social media profile becomes an invaluable part of the customer view." [read more]
Data Quality, Collaboration and Baseball
"Collaboration on Data Quality efforts between the business and IT is always tenuous. Yet, most acknowledge that it is the ability to work well together that will help an organization overcome data quality challenges quickly and effectively. ..So, what does this have to do with baseball, you might ask?" [read more]
Garbage in the Lockers and Gold on the Streets
It is “Data,” folks, which we find often as the “Garbage in the Lockers and Gold on the Streets.” Defining the scope, boundaries and ROI of Enterprise-wide Data Quality can be the first major hurdles to overcome in solutions development to address Data Quality issues [read more]
Data Quality – Everyone is a Stakeholder
It is each one of us and collectively the civilized society as a whole that should develop means to demand that organizations and governments take full responsibility for the impacts poor data and information quality management have on the society by making them accountable for each and every fallacy in their information management, assurance and oversight processes. [read more]
Tweety Bird and Aha! Moments
About three months ago, I started a data management and ETL project for a pretty big bank. Time was of the essence and the bank brought me in because I can get results. In this post, I explain why an overemphasis on results can be a really bad thing–and why all matching isn’t created equal.When my client advised me of the number of... [read more]
Which came first, the Data Quality Tool or the Business Need?
This recent tweet by Andy Bitterer of Gartner Research (and ANALYSTerical) sparked an interesting online discussion, which was vaguely reminiscent of the classic causality dilemma that is commonly stated as “which came first, the chicken or the egg?” An E-mail from the Edge On the same day I saw Andy’s tweet, I received an e-mail... [read more]
The Idea of Order in Data
As I explained in my previous post, which used the existentialist philosophy of Jean-Paul Sartre to explain the existence of the data silos that each and every one of an organization’s business units rely on for maintaining their own version of the truth, I am almost as obsessive-compulsive about literature and philosophy as I am about... [read more]
Hell is other people’s data
I just read the excellent blog post Data Migration – and existentialist angst by John Morris, which asks the provocative question what can the philosophy of Jean-Paul Sartre tell us about data migration?As a blogger almost as obsessive-compulsive about literature and philosophy as I am about data, this post resonated with me. But... [read more]
Data Quality View: The Cassandra Effect
Data Quality (DQ) View is an OCDQ regular segment. Each DQ-View is a brief video discussion of a data quality key concept. When you present the business case for your data quality initiative to executive management and other corporate stakeholders, you need to demonstrate that poor data quality is not a myth—it is a real business... [read more]
Selling the Business Benefits of Data Quality
In his book Purple Cow: Transform Your Business by Being Remarkable, Seth Godin used many interesting case studies of effective marketing. One of them was the United States Postal Services. “Very few organizations have as timid an audience as the United States Postal Service,” explained Godin. “Dominated by conservative big... [read more]
A Record Named Duplicate
Although The Rolling Forecasts recently got the band back together for the Data Rock Star World Tour, the tour scheduling (as well as its funding and corporate sponsorship) has encountered some unexpected delays. For now, please enjoy the following lyrics from another one of our greatest hits—this one reflects our country music... [read more]
DQ-View: Is Data Quality the Sun?
Data Quality (DQ) View is an OCDQ regular segment. Each DQ-View is a brief video discussion of a data quality key concept. This recent tweet by Dylan Jones of Data Quality Pro succinctly expresses a vitally important truth about the data quality profession. Although few would debate the necessary requirement of skill, some might... [read more]
Is your data complete and accurate, but useless to your business?
Ensuring that complete and accurate data is being used to make critical daily business decisions is perhaps the primary reason why data quality is so vitally important to the success of your organization. However, this effort can sometimes take on a life of its own, where achieving complete and accurate data is allowed to become... [read more]
Podcast: Stand-Up Data Quality (Second Edition)
Last December, while experimenting with using podcasts and videos to add more variety and more personality to my blogging, I recorded a podcast called Stand-Up Data Quality, in which I discussed using humor to enliven a niche topic such as data quality, and revisited some of the stand-up comedy aspects of some of my favorite written-down... [read more]
Data Quality and the Cupertino Effect
The Cupertino Effect can occur when you accept the suggestion of a spellchecker program, which was attempting to assist you with a misspelled word (or what it “thinks” is a misspelling because it cannot find an exact match for the word in its dictionary). Although the suggestion (or in most cases, a list of possible words is... [read more]
Finding Data Quality
Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? In the spring of 2003, Pixar Animation Studios produced one of my all-time favorite Walt Disney Pictures—Finding Nemo. This blog post is an hommage to not only the film, but also to the critically... [read more]
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Webinar: Making Sense of Service Organization Audits
When: Tue, 2012-02-14 02:00
Webinar Invite: Making Business Intelligence Faster & Easier
When: Tue, 2012-02-21 15:00
Banish Poor Application Performance: Eliminate Business Disruptions, Increase End User Productivity
When: Wed, 2012-02-22 11:00
O’Reilly Strata 2012
When: Tue, 2012-02-28 08:00
IFSUG Summit
When: Sun, 2012-03-04 08:00
Predictive Analytics World, March 4-10, 2012 San Francisco
When: Sun, 2012-03-04 09:00
Text Analytics World Topics & Case Studies – March 6-7, 2012 in San Francisco
When: Tue, 2012-03-06 09:00
Predictive Analytics World, April 25-26, 2012 in Toronto
When: Wed, 2012-04-25 09:00
Salford Analytics and Data Mining Conference
When: Thu, 2012-05-24 12:09
Big Data World Europe
When: Wed, 2012-09-19 08:30

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