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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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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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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 in-depth white paper discusses Agile, and how it can be implemented on a large scale. Read on to find out what benefits one can expect from enterprise-wide Agile implementation, and what challenges await.
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Learn how The Open Group Architecture Framework (TOGAF®) and Portfolio Management both promise to bring structure and direction to complex and fast-moving organizational environments: the TOGAF framework for the enterprise as a whole and Portfolio Management to the enterprise project world.
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This brief resource provides information on a solution that reduces costs and improves operational efficiency by consolidating image data from each department PACS into a single, unified independent storage solution.
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This white paper discusses an approach other than enterprise data warehouses (EDWs) to meet organizations reporting and operational needs.
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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.
