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With so many big data options on the market today, finding the one that leads to business success is no small task. This article introduces a big data strategy recognized in a recent "Best of Big Data" competition – read on to learn more.
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In this resource, learn how the right database foundation can help your organization facilitate real-time analytics and capitalize on the full potential of big data.
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Visual discovery tools help enable business users to access and analyze data with minimal assistance from the IT department. Consult this white paper to learn more about who the target users of visual discovery tools are and how they help analyze data in a variety of systems.
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The customer-driven age is upon us and succeeding in this environment requires a new set of goals and a new set of tools. Learn how CRM is the catalyst to transform organizations, empower employees and capitalize on new market opportunities.
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This brief resource introduces the first cloud service for the entire data pipeline. Inside, learn how this strategy can help you acquire, store, and analyze customer information and big data.
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This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
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Access the following, extensive white paper to find out if your current BI and analytics solution is mismatched. Figure out what process may be affected as a result, and what you can do to make sure that your BI and analytics solution is right for you.
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This resource reveals how a Business Intelligence Competency Center (BICC) can help you better leverage your investment in technology and improve the effectiveness of knowledge workers, enhance fact-based business processes, and much more.
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This resource examines how big data analytics is helping communications service providers (CSPs) to better understand customer behaviors, drive customer loyalty, and improve experiences. Inside, discover an enterprise-grade infrastructure designed for big data workloads.