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CONCEPTS

I've had many experiences over the years dealing with disparate data in a wide variety of public and private sector organizations. I've used many different techniques to understand and resolve disparate data, and have published many of those techniques. All those techniques had good and bad features, and I learned from each experience. The concepts, principles, and techniques described here are the best I've found (so far) for understanding and resolving disparate data and creating a comparate data resource.

The most important single thing I've learned through all of these experiences, as described in Data Resource Simplexity, is that the creation of disparate data must cease before any attempt is made to understand and resolve those disparate data. Disparate data are created much faster than they can ever be resolved. If the creation of disparate data is not stopped before attempting to resolve those disparate data, the resolution effort will be for naught.


  

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