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The following white paper explores the top 7 considerations for implementing a data visualization solution in your enterprise. Learn how data visualization can give way to far deeper insights, better decision making, and much more.
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In this white paper, discover a rapid-deployment technology for mobile analytics visualization, so you can take full advantage of data visualization capabilities anywhere, at any time. Explore the benefits you'll get with rapid-deployment, and learn how easy it is to get a mobile analytics strategy up and running within two weeks.
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Discover how a private technical compute cloud can help your business provide access to remote, full 3D technical visualization and rendering capabilities that can help to enhance collaboration and productivity.
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Data doesn't have to be only fact driven and metric. Learn these five best practices to help you make sense and order out of a disparate collection of facts.
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To ensure your end-users are getting the experience they want, read this 1-page guide that addresses the top 5 reasons to upgrade to Oracle BI 11g.
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Visual analytics is the process of analytical reasoning facilitated by interactive visual interfaces. Its becoming the fastest way for people to explore and understand Business Intelligence data of any size. This paper will introduce you to the seven essential elements of true visual analytics applications.
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This informative resource explains why businesses can and must transform their practices. The most frequently cited critical objective that an organization can achieve by allowing business users to always get the right information at the right time is the ability to alter business processes more dynamically.
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This paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.
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Visual representations are a fundamental component of human learning and understanding. To study the impact of data visualization, we must first look to the past and see how our ways of shaping and representing data have changed over time. This paper traces the history of visual representation, from cave drawings to the computer revolution.