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The following white paper explores the top 5 analytics applications for financial service institutions. Learn how you can better manage your bottom line, analyze risk, and glean deeper insights than ever before.
WHITE PAPER:
Access the following white paper to uncover the top 5 questions to ask when evaluating optimization solutions. Learn what makes a system trustworthy, how systems should react, why a solution needs to be able to translate business problems into analytics, and more.
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Read the following white paper to see how Capacity Management Analytics can allow for capacity planners, system administrators, data center executives, and others to track, measure, and forecast capacity, pinpoint issues, and more.
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This white paper introduces a mobile application platform that gives you the power to manage your business at any time, from any location, and on any popular mobile device.
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In this white paper, learn how to fully leverage the scale and promise of Hadoop with a powerful and cost-effective platform that supports critical projects and key analytics initiatives within the entire data ecosystem.
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This whitepaper discusses the advantages of taking a proactive approach to leveraging data can reveal fast, effective pathways to improving quality. Read on to find out how to stop being reactive with your workflow improvements, and how focusing on quality can help mitigate risk.
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The following white paper explores how businesses that are embracing forward thinking can do so by adopting a predictive analytics solution. Uncover the top 4 reasons why predictive analytics lead to greater business value, improved efficiencies, and more.
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Managing and analyzing data in the cloud has many benefits, but adoption levels remain relatively low, despite the potential benefits. Get the numbers behind leveraging the cloud for business intelligence and big data analytics, and find out how maximizing analytics' potential relies on the quality of your data.
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This white paper describes the benefits of moving beyond traditional BI tools for analyzing massive amounts of granular, event-level data.
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Join analytics pioneer Tom Davenport in the following Q&A as he explores the evolving state of analytics. Learn what you can do to prepare for analytics 3.0, how you can get there, and which tools and supporting roles you need to make it all happen.
