What is Data Cleansing?
Data cleansing – otherwise known as data cleaning – is the process of correcting or removing inaccurate records from a data set. Data Cleansing can be carried out as part of a data quality management initiative in order to improve the overall quality of the data.
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5 tips for better Data Quality
Build trust in your data with 5 practical Data Quality tips to improve accuracy, engage your teams and embed sustainable data quality processes that drive better business decisions.
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