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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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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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Read this paper to discover powerful, self-service business intelligence (BI) that helps you locate, evaluate, and use your crucial business information while minimizing the operational cost.
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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.
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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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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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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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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.
