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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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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 this comprehensive resource, explore a variety of hardware appliances that are SAP-approved as platforms for HANA. Discover how these appliances from Cisco, EMC, and VCE can benefit your SAP HANA implementation, and evaluate how they stack up against the five essential characteristics of a SAP HANA hardware platform.
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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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This report dives deep into a study on SaaS and how it is helping companies gain competitive advantage as opposed to simply reducing costs.
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This white paper highlights how organizations can leverage big data to solve business challenges. It focuses on query-able data warehouses as a way to reduce costs and gain business insights. Discover how you can free up your data warehouse from processes slowing it down and disrupting revenue goals.
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The following white paper explores the through the eyes of pioneering analyst, Tom Davenport, on the importance of the data scientist when it comes to success with big data and advanced analytics. Learn how they how they help, how to onboard or create them, and much more.