Data Integration and Master Data Management Edition
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Data Governance: A Strategic Imperative for Today’s Information Economy

It’s been said that data governance—the processes ensuring that data assets are formally managed throughout an enterprise—is a strategic imperative. At the very least, good data governance lowers risk and accelerates compliance mandates. A successful data governance initiative has multiple pillars supporting it, with master data management, metadata management, and integration being the key pillars behind the initiative. But at the heart of each of these pillars is the quality of data. Having a comprehensive data quality solution is crucial to successful data governance.

Oracle’s enterprise data quality solutions provide critical support for data governance with profiling, cleansing, classification, repurposing, matching, and reporting features that are designed to deliver data that is clean, reliable, and standardized. These solutions work well alongside master data management, extract/transform/load, and integration initiatives (as a fully integrated suite), serving to streamline the entire data governance process. And only Oracle provides a complete data quality platform with best-of-breed capabilities for both customer and product data.

Want to dig deeper? To learn more about Oracle’s enterprise data quality solutions and data governance best practices, download the Oracle Enterprise Data Quality resource kit.
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