DATA CLEANSING
Data cleansing - also called as data scrubbing - is a process of detecting and removing and/or amending the errors, inconsistencies & abbreviations in a database ( part and material files, product catalog files, and item information etc) that could be incorrect, redundant, out-of-date, incomplete, improperly formatted or duplicated. In short, it improves the quality. The data cleansing process can transform and combine disparate data, remove inaccuracies, standardize on common values and cleanse dirty data to create consistent, reliable information and to reduce unnecessary costs wastage.
Any organization from data-intensive field like banking, insurance, retailing, telecommunications and transportation might use a data scrubbing tool to systematically examine data for flaws by using rules, algorithms, and look-up tables.
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