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Tag Archives: Data Quality

If You’ve Got Data Quality Roles, You Might Not Have Data Quality!!!

In a recent post the very knowledgeable Nicola Askham suggested that an enterprise ought to have the fourData Quality roles of Data Owner, Data Steward, Data Produces and Data Consumer. Though I agree with Nicola that these roles are valid early on, I also believe that, if they persist, then the enterprise is very unlikely ever to achieve true maturity in data and information […]

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Data is an indicator of the health of an enterprise, not a driver of it.

Is Data Dialysis Killing Your Enterprises?

One of the major barriers to  improving the maturity of Data Quality in enterprises around the globe is the mistaken belief, by far too many DQ practitioners, that good data creates a good enterprise. The reality is quite the reverse of this. It is a good enterprise that creates good data. Good data is the […]

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Figure 3 of Big Data and Fifth Normal Form (5NF) Lies

What Are You doing to Protect Your Big Data from 5NF Syndrome?

Big Data x 5NF = Really Big Data Errors It is true that Big Data may offer huge opportunities for enterprises to gain hitherto unimagined insights. Alas, it also true that is has the potential to tell enterprises really big lies! This has nothing to do with the quality of the Big Data. These ‘lies’ can […]

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Fogville - where things are always a little hazy!

Fogville: Rip Van Data Winkel Wakes up after 20 Years!

Due to boredom, Rip Van Data Winkel fell asleep in Fogville over 20 years ago.  He now awakes into the brave new world of Data Quality in 2013.  What earth shattering changes will he find? Will his mind be able to to handle the magnitude of the global improvements that 20 years has surely brought […]

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The Data Compass helps enterprises plot a save passage to Data Quality.

The Universal Data Compass

Fuzzy thinking is spreading like a fog across the landscapes of data management and data quality.  Instead of extracting themselves from this fog, many data analysts actually convince themselves that, far from being lost in the mists and haze, they are actually finding enlightenment in a new and unexplored world of complexity.  Few ever emerge […]

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IMM world audience spans 5,ooo towns and cities in 181 countries.

IMM Audience Now in 5,000 Towns & Cities in 181 Countries

IMM the Integrated Modeling Method can truly be said to be global with an audience in nearly every country in the world, as shown by the map below from our website Google analytics. You can help us to grow our audience still further by: Sharing this page with colleagues and friends by clicking on one […]

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Fogville - where things are always a little hazy!

In Fogville Data Errors are Created for the Social Good!

The citizens of Fogville Inc. take a different approach to Data Quality. Does your enterprise have such creative reasons for not eliminating data errors? If so, please write and let me know and I will see if I can get the citizens of Fogville to adopt them. My email: john@johnowensblog.com

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Business and data definitions give direction to an enterprise.

160 Pragmatic, High Quality Definitions for Business and Data Analysts

Quality Practice Begins with Quality Definitions Sadly, in the worlds of business and data analysis and modeling good definitions are hard to find, bad definitions abound and misunderstanding and misuse of even the most fundamental terms is commonplace. I am a perfectionist. I am passionate about quality and want to deliver it to my clients […]

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What’s the Matter with ‘Meta’?

Misuse is the matter with ‘Meta’. ‘Meta Data’ is a term that is beginning to appear and be misused in blogs and articles on Data Quality. Although Meta Data does have a role to play in Data Quality, it is not the one described in some Data Quality articles. In this post I will define […]

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