Structure the Project When you determine that one domain of your master data is of the utmost importance, or that one is having a proportionately higher business impact than others, start there.Determine Project Requirements and Perform aData Audit Technical profiling will not give you a complete picture of data quality issues. User profiling is also required to understand where the issues are.Optimize the Data Quality Processes To obtain both buy-in and commitment, determine who the Data Governance Champions are within the organization, and get them on-board with the project first.Implement Process Changes Training may not address the issue in high turnover environments. Work on building a strong data quality culture by streamlining tasks and taking pride in your organization’s data quality.Clean and Correct Defective Data Manual clean-ups only make sense when the data set itself is small. Large data volumes will be too time consuming for a Data Steward to sift through, making a manual clean-up initiative a poor investment.

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