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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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Fogville, DQ – Where Data Defects are Good!

Welcome to Fogville, the place that captures the spirit of Data Quality around the work. Where people dare to say what others fear to think! If you think that a colleague or friend could benefit from the incisive insights of the folk in Fogville, please share this post with them by clicking on a Social […]

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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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The Five Pillars of Data Quality

The Five Pillars of Preventative Data Quality

If any enterprise is serious about implementing Data Quality, then there are five fundamental actions that it must take in order to lay the foundations for this. These are critical actions as, without taking them, all other Data Quality activities will be in vain. The reason for this is that these actions actually define what […]

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Data Quality is Not a Prosthesis, It’s in the Enterprise DNA

Why is it that so many enterprises, even those committed to Data Quality, fail to achieve it? The major reason for this is that they implement all Data Governance and Data Quality activities in the form of expensive and cumbersome overhead departments and activities. This approach dooms Data Quality. Data Quality cannot be treated as […]

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How SCV Causes Fragmented MDM

It’s ironic that a major activity, whose advocates claim will bring integration to Master Data Management (MDM), is actually a major driver of MDM fragmentation in enterprises. Sadly, in the case of Single Customer View (SCV) this is the case and, when you look closely at it, fragmentation is inevitable. Wrong Place, Wrong Direction Single […]

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Can Pooping on Your Own Doorstep Improve Data Quality?

Quality Begins There are three things that have to happen in an enterprise if Quality is to exist there. The first is that the management and staff come to know and appreciate what Quality is, the second is that they are committed to bringing it about in their enterprise, the third, and most important thing, […]

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