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Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
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Explore this game-changing white paper to discover how HP's latest server automation software is changing the face of virtualized environments.
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To ensure your end-users are getting the experience they want, read this 1-page guide that addresses the top 5 reasons to upgrade to Oracle BI 11g.
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Businesses are using visual data to make sense of information. How can visually oriented techniques help make sense in the business world? Read this resource to find out how to get a quick look at valuable information by implementing visual data.
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This white paper explains the benefits of a backup solution that uses software technology to analyze existing heterogeneous data backup environments.
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Data doesn't have to be only fact driven and metric. Learn these five best practices to help you make sense and order out of a disparate collection of facts.
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The following white paper explores the importance of data visualization in deciphering growing big data volumes. Learn why spreadsheets and other conventional data display methods cause so many problems, how visualization offers a solution, technology recommendations, and more.
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What have you done to prepare for the volume, velocity and variety of big data? Today's data explosion has forced companies to re-assess their capabilities for managing the full spectrum of big data challenges. Read this paper to learn why a big data platform could hold the answer to optimizing big data management to maximize business insight.
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The following white paper explores the top 7 considerations for implementing a data visualization solution in your enterprise. Learn how data visualization can give way to far deeper insights, better decision making, and much more.
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Access this white paper to learn the benefits of advanced data mining, including a greater return on investment. It offers practical guidance for incorporating additional data types and sources, expanding the scope of data mining projects and deploying results more effectively throughout your organization.
