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Supercharging Enterprise Information Quality with Web Services
Date: December 2, 2008
The old days of data quality revolved around batch processesfiles were extracted, cleansed, and then reloaded to mitigate inaccuracies. Today's extended enterprise, however, poses challenges that require reaching beyond just this traditional approach, including real-time processes, enterprise data governance and other business drivers. Thankfully, Web Services represent a tremendous opportunity to deploy data quality best practices across even the most complex, far-flung organizations.
In this DM Review Espresso Shot Web Seminar, we'll take a look at emerging methodologies for using Web Services to share data quality best practices, thus mitigating bad data, while also creating a framework for effective data governance. Attendees will learn:
-Why Web Services are the future of data quality
-How an automated, wizard-driven approach can empower business users
-The value of clearly defining gives and gets' when designing data quality services
-Why decoupling the interface greatly increases time to value and decreases cost of ownership
-How this approach facilitates effective data governance
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