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.
Read more about Data Quality Assurance: Criticism of Existing Tools and Processes
Famous quotes containing the words data, quality and/or assurance:
“To write it, it took three months; to conceive it three minutes; to collect the data in it—all my life.”
—F. Scott Fitzgerald (1896–1940)
“Indeed, it is that ambiguity and ambivalence which often is so puzzling in women—the quality of shifting from child to woman, the seeming helplessness one moment and the utter self-reliance the next that baffle us, that seem most difficult to understand. These are the qualities that make her a mystery, the qualities that provoked Freud to complain, “What does a woman want?””
—Lillian Breslow Rubin (20th century)
“Women have a hard time of it in this world. They are oppressed by man-made laws, man-made social customs, masculine egoism, the delusion of masculine superiority. Their one comfort is the assurance that, even though it may be impossible to prevail against man, it is always possible to enslave and torture a man.”
—H.L. (Henry Lewis)