Four Best Practices for Accelerating Time-to-Value of Master Data Management

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MDM projects also need to account for the wealth of “new data” that is now readily available and has become part of the organization’s extended data assets: new types of information that are coming from inside or outside the firewall, from unsuspected data sources or from sources that were simply not accessible before. These new types of information must be full constituents of an MDM infrastructure – either by being managed in the MDM hub itself, or linked from the MDM hub in a federated approach. They typically include social data and public/open data, as well as “dark data” – data that is hidden in log files, manufacturing equipment and various systems.

Master data management (MDM) has become recognized as a key way for businesses to gain consistent and valuable insight on data, usually distributed across applications and systems. While the anticipated benefits of MDM are usually clear, a number of factors must be considered to implement an effective MDM program, ensuring actual success and return on investment. Talend has identified four best practices for accelerating successful returns on an MDM initiative.


Related Topics : APC, Resellers, Data Replication, Extract Transform and Load, Structured Data Integration

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