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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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Consult the following white paper to uncover how to deliver more relevant offers, increase response rates, and ultimately create a happier customer base with the use of real-time marketing.
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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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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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Getting executive buy-in and implementing BPM can seem like a daunting task. Read this white paper to learn how to simplify the process with a simple, scalable, centralized BPM platform that provides total visibility and management of your business processes, real-time analytics, a process coaching for easy user adoption.
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This paper focuses on finding the value within big data and offers advice for delivering deeper insight to decision-makers and management. Also, discover how leading companies are benefiting from the recent emergence of MapReduce and real-time analytics.
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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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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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The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
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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.
