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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.
WHITE PAPER:
Despite what some technology vendors might have you believe, big data isn't limited to data warehouse scenarios. This resource examines the growing prevalence of big data and explains how leading organizations are using all of this information to drive business success.
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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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This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
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This resource evaluates the adoption of enterprise-wide, production-ready big data tools using market data from Forrester Research and a custom study from CenturyLink Technology Solutions.
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This white paper introduces a customized learning assessment work package that extends the value of one business intelligence and performance management platform by teaching your business users the skills they need to drive success.
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Consult this white paper to uncover how to successfully use big data to your advantage. Discover how to apply expert techniques to help quell the complexities associated with big data and get started on the path to better analytics.
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This brief resource examines how many industries, like the video gaming industry, can use big data analytics to capture and analyze customer behavioral data in order to respond to customer demands and deliver better experiences.
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Access this white paper to learn the benefits of advanced data mining, including a greater return on investment. It offers practical guidance for incorporating additional data types and sources, expanding the scope of data mining projects and deploying results more effectively throughout your organization.
