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What is 'Data Organisation'?


Data organisation is simply using common sense in doing what we do. 

Because it is so simple it is usually ignored as unworthy of our attention at our level of intelligence. 

  1. notice what we do - Data Recognition

  2. organise the data by Function - Condition - Subject etc

  3. manage the data - to your benefit

If one is concerned with productivity, then inevitably one will be involved in competition with other organisations because of the influences of market forces and the capitalist society in which we live.

 

It is insufficient to believe that we need only to address the notion of the time and cost of a product or service at the moment of its inception - competition is a continuous fact in the lifetime of a company and the need to produce continuous improvements implies the need for problem-solving approaches. It is only by adopting the strategy that "there is always a better way" of doing things that the organisation will survive and prosper.

 

Problem-solving is a primal activity in man's survival and one can extend that argument to the survival of the organisation which provides economic sustenance.

 

One of the key tenets in solving problems is the ability to deduce testable hypotheses from a proposed solution and thence to test results by observation and experiment. Data organisation permits the analyst to meet these objectives with such vigour that he is qualified to establish a preference between all the competing theories in a never-ending cycle of Rebuttal-Search-Acceptance of the old and the proposed work process.

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