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The Pitfalls of Data Re-Use

The reuse, though seemingly an eminently sensible practice, is fraught with danger. The only data that is truly safe to re-use is genuinely raw data. All other data should carry a health warning.

Read on on to find out what these dangers are and how to avoid them.

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Name That Place

There is one aspect of Data Management and Data Quality that causes the greatest proliferation of duplicates across the globe, is the confusion that exists regarding the Unique Identifiers (UIDs) of data entities. I previously addressed UIDs in the posts such as One Version of the Truth. and The Power of QUACKs and UIDs However, last week […]

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Data Quality – One Version of the Truth?

The concept of “one version of the truth” is possibly the most widely discussed (and disputed) topics in Data Quality. Some say that it can never exist, others, that it must always exist or there is no quality. There is one version of the truth but, perhaps, not the truth as you know it! Know the Unique Identifier (UID) and the truth becomes blindingly obvious!

Click on “Read More” to see how.

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There Are No Such Things as Data Rules!

This may come as a surprise to many involved in Data Quality but, wait for it, there are no such things as data rules! By looking at data you can never deduce or define a rule that dictates that one entity should be related to another or that a value of an attribute of an entity has to be, in a certain format and have limits to its value. So what does dictate data content, structure, format and constraints?
Click on “Read More” and find out why….

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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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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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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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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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