Data Cleansing: Definition, Benefits & Common Challenges
Data cleansing is an on-going process that starts with detecting flaws, fixing them, and preventing errors, duplicates, and imperfections in a database. Since it’s a process, the data cleansing experts follow a well-defined strategy that targets achieving accuracy, reliability, and consistency. With these qualities, the data becomes useful. Its clean structure helps in getting deep into insights, preparing exact reports, and making decisions that actually prove helpful and actionable.
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