Data quality assurance
Encyclopedia
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
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These activities can be undertaken as part of Data warehousing or as part of the Database administration of an existing piece of applications software.
Data profiling
Data profiling is the process of examining the data available in an existing data source and collecting statistics and information about that data...
to discover inconsistencies, and other anomalies in the data and performing data cleansing
Data cleansing
Data cleansing, data cleaning, or data scrubbing is the process of detecting and correcting corrupt or inaccurate records from a record set, table, or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant, etc...
activities (e.g. removing outliers, missing data interpolation) to improve the data quality
Data quality
Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" . Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer...
.
These activities can be undertaken as part of Data warehousing or as part of the Database administration of an existing piece of applications software.