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BusinessWeek Research Services (BWRS) launched a research program in April 2009 to determine the attitudes and opinions of C-level executives with regard to the use and value of business analytics. This paper reviews a portion of the research and provides analysis and insights on the topic of business analytics.
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This paper discusses how the shift to in-memory analytics will make time-to-value in countless business decisions accelerate, changing the pace of adoption and integrated analytics within the enterprise. Learn how in-memory analytics is going to change everything about your enterprise.
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This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
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In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
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Most developers write their own code, but also integrate third-party components into their application to save time and effort. This paper explains some strategies that will help to secure applications from vulnerable open source components.
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This brief white paper welcomes you to the future of data management – pre-integrated server, storage, network and database software and tools selected and tuned specifically for the demands of high-availability, high-throughput transactional processing.
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Designing a database system that's capable of achieving high levels of performance is a difficult task for any organization. In this ESG Lab review, learn how the configuration and delivery process of database systems can be made quicker and easier.
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Learn how subscription-based business applications are expected to make an even bigger impact in 2014 and beyond in this informative infographic.
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The following IDC white paper explores the role that the CIO and IT group play in enabling, supporting, and leading analytics programs and projects within their organizations. Uncover the 4 big myths that can be hurting your analytics effectiveness, how to fix IT and line of business disconnect, and more.