Improve your data quality: Cleanse your data
Data cleansing is the first step to data management. It is a process of cleaning old, invalid, duplicate and useless data from the existing database.
Incorrect, inappropriate, outdated, redundant and missing data are key examples of dirty data. If this data is used for decision making then it may lead to a critical error. Predictive, predefined model will become erratic and unreliable.
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