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Data Cleaning: A new Concept

Like everything else, businesses must also do yearly cleaning of their contents to remove redundant, obsolete and trivial data from their systems commonly known as ROT. This ROT makes it difficult to find data which are important and useful. A few tips to do this daunting tasks of data cleaning given by experts are: • Identification of relevant and critical data for the business from the identified repositories with the help of Subject Matter Experts (SME)

• Analyzing data in these repositories which are suspected to be important with the help of SMEs, automated processes and leveraging software.

• Establishing metadata for finding and retrieving documents, access control, privacy policies and potential business value

• Metadata needs to be classified for all documents in the repository. This classification process reveals the ROT.

These essential chores can lead to cost-effective information governance by eliminating ROT.

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