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Tag Archives: Data Quality

Business Modelling Architecture

All good analysis and modelling is achieved by starting in the right place, and that place is with the core activities of the enterprise – the Business Functions. If you have not started in the right place, then you need to know how to get back there. The Hierarchy of Models shown in the diagram in this post will enable you to do this.
If you are working on any model and have not built the preceding model(s) then you are not going to achieve a Quality outcome.  For example, if you are modelling Processes and have not yet built your Function Model, then you are in trouble.  This failure to first model Functions is one of the main reasons why most BPM projects fail to deliver.

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Has Data Quality Lost the Plot?

Have some Data Quality practitioners lost the plot? When recently reading an article by a DQ practitioner I was tempted to think so. “You have amassed all of this master data and you must now make sure that you totally organise your whole business around feeding and maintaining it.” It’s a bit like all of the bees in a hive being expected to be totally dedicated to feeding and protecting the queen bee; to be an unquestioning and dedicated collective. Data is everything! Data must be served! Well, and this may shock some people, data is not everything!

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Data Quality is Essentially Simple!

At first glance the subject and practice of Data Quality can seem hugely complex and about as difficult to unravel as the Gordian Knot. The main reason for this is that most of the current efforts in this area go into trying to clean up the data quagmires that are created daily because the Five […]

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Welcome to the World of IMM

I am passionate about bringing power and clarity to the worlds of Business and Data Modeling. The Integrated Modelling Method (IMM) combines a complete set of modeling techniques in a uniquely integrated manner that no other method does. This will enable you to consistently deliver high quality products, first time, every time. This website explains […]

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Improve Data Quality or Raise the Titanic?

The current “after the fact” approach to data quality around the world has turned enterprise data not a “wreck” at the bottom of a deep ocean. Efforts to refloat it are about a realistic as trying to raise the Titanic.

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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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Unique Keys are the Primary Cause of Duplication in Databases

It is perhaps the greatest paradox of data quality that the PRIMARY cause of duplication of entries in any database is the mistaken use of unique keys as the Unique Identifiers UIDs) of records.
Click on “Read More” to learn how to avoid this error.

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Five Key Steps to Quality Data Modelling

To most business people data modelling is a black art that is practiced by the company IT department. It brings no tangible business benefits and is solely designed to make mere mortals feel confused and inferior.  Sadly, many IT departments actually foster this view and, for those that do, the data modelling that they carry […]

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