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Access this demo to see how you can draw quick insights from social media data using software-defined storage. Learn to analyze this data in near-real time and dynamically manage the data to keep storage costs low.
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Predictive analysis can allow your company to make better business decisions, faster. Attend this Webcast to learn how you can gain a competitive edge with real-time Oracle Siebel CRM On Demand Analytics.
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Listen to this webcast case study to learn how AmBank was able to better monitor customer transactions and improve insights via data integration and analytics.
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This webcast counts down five essential use cases for big data that can help your organization gain a competitive advantage and fuel success. Tune in today to learn more.
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View this brief webcast to see what one financial industry leader sees as a solution fit for the security future of his organization, and how strategies involving big data and education can keep customers' money and data safe from cybercrime.
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This presentation considers the advantages that come with real-time customer churn intervention. Watch now to discover how machine learning and text analytics can help your company step in at the right time to avoid losing valuable customers.
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Check out this informative resource to learn what you should consider when choosing architecture for your big data project. Discover the seven top architectural qualities of big data production platforms, and one delivery platform that automates big data workflow for more efficient, effective processing.
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Mainframes generate and process huge data volumes, but the costs and challenges of mainframe computing often leave this data untapped. This webcast explains how Hadoop can help you conquer the costs and challenges of big data and gain key business insights.
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Today, analytics are being used to change challenges into opportunities. Learn more by listening to this informative webcast today. Click through now to better understand the importance of time-to-market, faster insights, and the power of unlocking data.