The three big actions are auditing the quality of data, implementing data matching and defining a master record. Quality audits are an easy first step. The objective is to find data sources plagued by low-quality data and rectify the information at source. Poor-quality data sources typically use few rules to govern data input and formatting. A rules-based approach to the data-quality audit uncovers the likelihood of inaccurate data values.

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