Data quality assurance

Data quality assurance: Data quality assurance is the process of profiling the data to discover inconsistencies, and other anomalies in the data and performing data cleansing activities (e.g. removing outliers, missing data interpolation) to improve the data quality .

These activities can be undertaken as part of Data warehousing or as part of the Database administration of an existing piece of applications software.

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Data quality

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Data quality — Data are of high quality if they are fit for their intended uses in operations, decision making and planning (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real world construct to which they… … Wikipedia
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Data management — comprises all the disciplines related to managing data as a valuable resource. Contents 1 Overview 2 Topics in Data Management 3 Body Of Knowledge 4 Usage … Wikipedia
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Data cleansing — Not to be confused with Sanitization (classified information). Data cleansing, data cleaning, or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used… … Wikipedia

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Data quality assurance

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