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(i) Relevance: Data in any stage of processing cycle must be of significance importance to the problem at hand and to the decision maker.
(ii) Complete: Partial data is often worst than no data and therefore data should always be inclusive of all of the important facts in any stage of data processing cycle.
(iii) Accuracy: Data should be error free because erroneous data results in wrong output which may lead to disastrous decisions.
(iv) Timeliness: Timely data should be available when needed because decisions are often based upon the latest data available.
maurice.mutuku answered the question on April 17, 2018 at 13:06
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