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Using the automation tools in the MDM framework is another smart way to increase productivity. The amount of manual labor needed for data entry, validation, and updates can be greatly decreased with automation. Implementing automated workflows that send out alerts in the event of data anomalies or discrepancies allows organizations to proactively address problems before they become more serious. Organizations can also make well-informed decisions based on real-time insights by incorporating machine learning algorithms to help identify patterns and trends in the master data.