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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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It may be surprising to find that Zynga is performing some of the most advanced analytics anywhere. With a user base of over 250 million monthly active users, this white paper describes why Zynga uses the Vertica Analytics Platform to improve its business and game features.
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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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Security data collection and analysis has become a big data dilemma – so why wouldn't you adopt a big data approach? This resource outlines why legacy analytics and SIEM tools are inefficient and explores how adopting a solution that combines real-time and asymmetric big data security analytics is vital to success.
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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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In today's highly-competitive business climate, immediate access to, and effective analysis of business data can mean the difference between success and failure for an organization. This white paper introduces in-memory computing technology that enables these capabilities.
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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 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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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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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.