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Build a Data Quality Operating Model to Drive Data Quality Assurance

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Resolving data quality issues requires a multifaceted approach that involves people, governance, processes and technologies as key factors. Data and analytics leaders should build a comprehensive data quality operating model including these factors to foster data quality assurance.


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