Requirements and Evaluating of IQ have two distinct aspects one involving the “correctness” objective such as in Table 1 at IQ Characteristics Description column. The another one concerns the “appropriateness” of data for some specific purpose [11], [13], [15]. The user usually assures that the purpose of IQ assurance (for the Total Quality Management or TQM purpose) is to provide the best data possible [7], [8].
If the distributor obtain such IQ assurance data which they believe it is the best data possible [7], [8], it means this obscures the need to evaluate data. In other words, if the information is the best available or as good as it can be produced, then there is no other alternatives but to use it. The flaw is that saying that the information is as good as it can be produced does not inform us how good it is. Therefore, we need an explicit evaluation as in Table 1 at Conformance Measures column. It describes how to perform an evaluation which those activities are done to ensure that data are correct and appropriate for their specific purpose. After we define requirements and evaluation of IQ which are the background of this research, the next section describes four total data quality management process.
Requirements and Evaluating of IQ have two distinct aspects one involving the “correctness” objective such as in Table 1 at IQ Characteristics Description column. The another one concerns the “appropriateness” of data for some specific purpose [11], [13], [15]. The user usually assures that the purpose of IQ assurance (for the Total Quality Management or TQM purpose) is to provide the best data possible [7], [8].
If the distributor obtain such IQ assurance data which they believe it is the best data possible [7], [8], it means this obscures the need to evaluate data. In other words, if the information is the best available or as good as it can be produced, then there is no other alternatives but to use it. The flaw is that saying that the information is as good as it can be produced does not inform us how good it is. Therefore, we need an explicit evaluation as in Table 1 at Conformance Measures column. It describes how to perform an evaluation which those activities are done to ensure that data are correct and appropriate for their specific purpose. After we define requirements and evaluation of IQ which are the background of this research, the next section describes four total data quality management process.
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