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This document discusses data cleansing and provides steps in the data cleansing process. It defines data cleansing as detecting and correcting inaccurate or corrupt records in a database. The key steps described are parsing, correcting, standardizing, matching, and consolidating data. The goal of data cleansing is to clean data within and between databases to make information consistent and suitable for effective decision making. Metadata should document rules and data quality should be built into new syste

Author

mindworkz pro

Language

EN