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Delivering Information You Can Trust - Benefits of Leveraging IBM Capabilities to Deliver Quality Data
Author: IBM
Even though most business leaders understand the need for high-quality data, they are often not sure how to achieve it. And yet, it has become clear that an investment in the infrastructure must be made to ensure measurably acceptable dataquality. This is where IBM InfoSphere Information Server can make a big difference. InfoSphere Information Server is the foundation of many successful data quality initiatives, helping organizations derive more value from the complex, heterogeneous information spread across their systems. Meanwhile, InfoSphere Information Server provides a resilient, reliable, high-performance platform for mission-critical data. This whitepaper rovides an overview of the current data quality problem and describes how IBM InfoSphere Information Server for IBM System z can become your foundation for data quality and make a big difference in helping you derive more value from the complex, heterogeneous information spread across your systems.
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Cloud as the Next Generation of Service Delivery
Author: IBM - John Frech - IBM, VP Tivoli Worldwide Sales, and Mary Johnston Turner - IDC, Research Director, Enterprise System Management Software
This Webcast was held on Wednesday June 23rd, 2010 at 1:00pm EST and featured John Frech - IBM, Vice President Tivoli Worldwide Sales, and Mary Johnston Turner - IDC, Research Director, Enterprise System Management Software. Exceptional growth in data is driving a need to transform the delivery of services. A successful transformation must be cost efficient, secure and resilient, and respond quickly. Integrated Service Management is the foundation for that transformation. Understand the "road map" to transform and learn how IBM adds value at every step from virtualization, consolidation, automation, and ultimately cloud computing. Join us and learn more!
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Data Integration: Moving Beyond ETL
Author: DataFlux
Data integration can no longer be an afterthought - it's a key component of data governance. Yet traditional methods of data integration like Extract, Transform and Load (ETL) may no longer be the optimal choice for every business. Enterprise organizations have several options for data integration processes and solutions, from integration methods (consolidation, propagation and federation) to web-based and software-as-a-service models. This white paper explores the various methods of data integration that can help an organization find a solution that fits its specific business needs.
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