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The following white paper details the impressive and inherently powerful technology of data visualization. Discover how this technology can dramatically increase your organization's competitive edge and see exactly how it can benefit you.
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This informative resource explains why businesses can and must transform their practices. The most frequently cited critical objective that an organization can achieve by allowing business users to always get the right information at the right time is the ability to alter business processes more dynamically.
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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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Check out this exclusive white paper for directions on how to create a Windows 8 image for the Latitude 10, as well as the information you need to image a Latitude 10 in your enterprise environment.
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In this paper, learn how retailers are using predictive analytics to uncover patterns in the products purchased together to differentiate assortment, merchandise stores and develop combined product offers to drive sales and profits.
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Learn how Cognos Business Intelligence lets you access virtually any data source, regardless of platform, and provide detailed, understandable views of the data to all users, regardless of location.
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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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How can cloud computing help companies in the new world of big data? This expert handbook looks at some possible answers to this question.
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Read this white paper to learn more about Tableau's unique approach to in-memory software architecture; what it is and what it means for your organization.
WHITE PAPER:
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.