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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.
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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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View this resource to learn more about the limitations of insufficient data. It discusses the importance of the right information at the right time and how to avoid missed opportunities with information-driven products and services.
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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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Big data is complex term to define and it often presents obstacles for businesses. Consult this resource to learn more about how you should look at big data from a business perspective. Find out how big data has changed the way that the business intelligence (BI) landscape operates.
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With the volume of data today, traditional disk-based systems can not process quickly enough to make it fully useful. In this white paper, gain insight into the next generation of in-memory computing technology.
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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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This white paper explores how IBM® Rational® software integrated offerings can help gain the traceability you need to ensure overall product quality.
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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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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.