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Tag Archives: Data Quality
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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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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Multi-Dimensional MDM – So Powerful – So Easy!

2D MDM Current thinking and practices on Master Data Management (MDM) could, at best, be said to be two-dimensional. This might not sound too bad, until you realise that one of the dimensions is ‘Customer’ and the other is ‘Supplier’ neither of which is actually a Master Data Entity!! Is this why current MDM thinking […]

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MDM Without Customer! Is That Possible?

There’s No Such Thing as Customer! One of the great paradoxes with the current thinking on Master Data Management (MDM), where so much effort is put into building a ‘single customer view’, is that Customer is NOT actually a Master Data Entity! Come to think of it, neither is Supplier! How can this be? This […]

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Address Universal Modelling Tool

Address Modelling Magic The different structures of addresses in different countries and different languages can seem to be an insurmountable obstacle when trying to bring consistency of address structures for the purposes of Data Quality and Master Data Management. Without the right tool it is insurmountable.  However, with the right tool is becomes relatively simple. […]

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Processes Do NOT Create Data!

I was recently asked to provide guidance on mapping how data is shared across different stages of Business Processes in order to achieve the greatest reuse possible. This was my answer. One of the most important things to emphasise when looking at data usage across an enterprise is that Business Processes do NOT create, transform […]

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Data Structure Modeling

Data Structure Modeling

Effective Data Quality and MDM start with the Corporate Logical Data Model (LDM).

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Information Flow Modeling

Information Flow Modeling

Link Function, Process and Data using Information Flow Models…

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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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