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Data Quality Considerations in Master Data Management Structures H I T E PA P E R :DATA QUALITY Michael Overture Gavin SharmaWHITE PAPER: DATA QUALITYData Quality Considerations in Master Data Management
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Data quality and master data management (MDM) is the process of ensuring data is accurate, consistent, and complete across an organization.
Organizations that deal with large volumes of data and need to ensure its quality and consistency.
Data quality and master data management can be filled out by using specialized software tools that help identify errors and inconsistencies in data.
The purpose of data quality and master data management is to improve data accuracy, consistency, and completeness to make better business decisions.
Information such as customer data, product data, employee data, and any other important data that needs to be accurate and consistent.
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