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Tag Archives: Data Structure
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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The Phantom Entities of Customer and Supplier

It is amazing how much is spoken and written about Customer and Supplier, especially as they do not exist – they are Phantom Entities! Read more at There’s No Such Thing as Customer.

Recently, in a response to a comment on The Pathology of Business & Data Modelling I was addressing this topic once again and thought it would be useful to produce some models that show how Customer and Supplier are in fact Roles played by the entity Party.

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If I Wanted to Get to Dublin I Wouldn’t Start from Here: Part 1

It seems that most Master Data Management (MDM) projects are starting in the wrong place and heading in the wrong direction! They fail to build and use that essential and most powerful of MDM tools, the Logical Data Model (LDM).

This approach is about as productive and effective as building a ship without a keel!

This is the first of three posts that explain what the problems are and how top avoid them.

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Will Best Practice Keep Your Data Quality Boat Afloat?

Some of attendees at a recent workshop that I ran told me that data quality was assured in their enterprise because they always followed industry best practice.  On the surface this seems to be a compelling argument.  If you are following best practice all must be right with your data quality.  Or is it? If […]

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There's No Such Thing as a Customer!

“Customer” is one of the Data Enitities that lies at the heart of most MDM practices in enterprises around the world and it is not in fact a Data Entity at all! This situation has arisen because far too much “data quality” work is done without the use of a properly structured Logical Data Model. This work then serves to perpetuate rather than remove fragmented data structures.

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A Data Quality Profession?

Do We Need a Data Quality Profession? In a recent article on Data Quality Arkady Maydanchik was suggesting that a key solution to the current data quality issues that plague business everywhere is the creation of a dedicated Data Quality profession. In a reply to the article I suggested that, far from solving the problems, the […]

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