Data Quality Management
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Errors, inaccuracies and incomplete data are all expensive to rectify. When they make their way into a corporate repository, their significance can be magnified. For this reason, businesses are expending significant resources to prevent such situations in the first place and to bring prior generation data up to a suitable level. Data is the key underlying ingredient of information from which knowledge is derived and upon which decisions are made. The dramatic increase in the use of analytics in insurance and the emergence now of predictive analytics, all to enable better decisions at the operational and tactical levels, is dependent upon a satisfactory quality of the data. The better the data, the more reliable the analysis and subsequent decisions. Since data quality is essential to the successful operation of most any business, better data quality is in many ways a competitive advantage. See also the latest technology news.
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