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This paper introduces SAP In-Memory Computing technology concepts, explains how SAP HANA uses them to help deliver real-time business insight, and describes how synergies with Intel architecture-based server platforms drive solution value.
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Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
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Big data security analytics is no longer a visionary idea -- leading enterprises recognize that their immediate security requirements demand this type of solution.
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Business processes are expected to run lean and green. The Accounts Payable process that runs with optimal efficiency and accuracy will diagnose bottlenecks in seconds, generate minimal waste and keep vendors and partners happy with fast inquiry response and timely payments. Read this paper from Dolphin Corporation to learn about automating AP.
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Read this paper to learn how combining a high performance batch programming and execution model with a high performance analytical database provides significant business benefits for a number of different types of applications.
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This informative white paper defines and discusses big data security analytics, including the continuum between real-time and asymmetric big data security analytics solutions.
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This white paper addresses the business reasons to move to real-time data warehousing and describes the common data integration approaches, with an emphasis on using real-time CDC capabilities and Oracle’s data integration offerings in that area -- including Oracle GoldenGate 11g and Oracle Data Integrator Enterprise Edition 11g.
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This paper explores the opportunities and challenges presented by the introduction of services on 4G networks, and examines how a strategic BI implementation can help to transform the services a company provides while managing costs of providing them. It also considers the variety of practical applications of a BI system.
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Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
