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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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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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This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
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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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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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The following white paper reviews the business drivers that are impacting the new wave of data management, highlights the new tools companies have for consideration in their next generation data architecture, and finally outlines a total data management blueprint for consideration in your big data strategy.
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Access this in-depth white paper to discover a structured approach to migrating Oracle apps from a physical to a virtual environment. Read on to find out why this approach meets many of the challenges presented by the virtualization of Oracle databases and applications, and learn how you can get started.
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Explore research done by Gartner to find out how in-memory computing will impact ERP during the next 5 years, so businesses can plan accordingly.
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In this paper, learn how the value a customer derives over the entire lifecycle of his or her systems enables IT to offload the massive expense and risk associated with endless release management and regression testing to VCE, allowing IT to remain focused on strategic initiatives.