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This informative white paper covers which facets of data and analytics are advantageous for the decision process and other organisational transactions. Discover how advanced analytics mitigate performance problems that prevent access to data.
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IBM®ILOG®’s business rule management system (BRMS) is widely used by leading investment banks, asset management and mutual fund firms to meet their compliance requirements while adding intelligent decisioning capabilities to applications and processes throughout the trading cycle, and business channels and systems.
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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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In this white paper, discover how SAP In-Memory Appliance (SAP HANA) delivers SAP In-Memory Computing technology through an ongoing engineering collaboration between SAP and Intel to provide optimized performance and reliability on Intel architecture, including the Intel Xeon processor E7 family.
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Read this white paper to learn how business intelligence (BI) can combine your explicitly-defined business rules and automatically-identified statistical information to deliver the best possible content to your customers for every single interaction.
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This paper discusses the Sybase CEP Implementation Methodology, which offers analytic developers a set of best practices for implementing Continuous Intelligence using Complex Event Processing. Sybase CEP provides a structured yet flexible approach to rapidly build Continuous Intelligence projects and deliver more analytic modules over time.
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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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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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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.
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Data doesn't have to be only fact driven and metric. Learn these five best practices to help you make sense and order out of a disparate collection of facts.