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Maintaining data quality and consistency is essential in the practice of effective customer data management, and with Pretectum CMDM (Customer Master Data Management), organizations have a powerful tool to achieve this goal.
Best practices in this context involve a comprehensive approach that addresses data quality at every stage, from initial data entry to ongoing maintenance.
Implementing a robust data governance framework is essential for maintaining data quality. By this we mean the defining of clear policies and procedures for data management, specifying data management responsibilities, and ensuring accountability across the organization. Such frameworks should encompass data stewardship, data ownership, and well-defined processes for data validation and correction.
https://www.pretectum.com/best-practices-for-maintaining-data-quality-and-consistency-with-pretectum-cmdm/
Maintaining data quality and consistency is essential in the practice of effective customer data management, and with Pretectum CMDM (Customer Master Data Management), organizations have a powerful tool to achieve this goal.
Best practices in this context involve a comprehensive approach that addresses data quality at every stage, from initial data entry to ongoing maintenance.
Implementing a robust data governance framework is essential for maintaining data quality. By this we mean the defining of clear policies and procedures for data management, specifying data management responsibilities, and ensuring accountability across the organization. Such frameworks should encompass data stewardship, data ownership, and well-defined processes for data validation and correction.
https://www.pretectum.com/best-practices-for-maintaining-data-quality-and-consistency-with-pretectum-cmdm/