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Archive | July, 2013

More on Meta Data Muddle

In his recent entertaining blog post Metadata, So Mom Can Understand, Rob Carel used an example of a TV episode to explain the concept of metadata to the lay man or woman. This example is very useful as it shows how Meta Data and Entity Data can be easily confused. Imagine the table below is […]

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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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Processes Tuning Master Class

It costs time and, consequently, money to carry out Business Processes, it is important that they are both effective and efficient.  Consequently, a vital stage in building any Process is to ensure that it is fully tuned and optimized. When tuning a Process the business analysts and business experts work closely together in order to make […]

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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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