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It's a process of cleansing and polishing the raw data so that it can be used for processing and analysis in a data table or a consolidated file to improve business intelligence.
It fuels the analytics engine that needs dynamic data to streamline the business process. It helps data scientists and researchers to develop models from training data that is carefully prepared.