Accelerating Business Analytics

In tougher economic times the benefit of being able to make faster, better-informed, proactive decisions to drive organizational change becomes crucial.

But traditionally the combination of large data sets, complex data relationships and modeling complexity has made it a challenge for data analytics to solve some of the highest-value business questions. "Accelerate Business Analytics" shows how grid computing and in-database processing increase productivity and streamline the analytics process. With grid computing, servers are always available for immediate access to computing resources. With in-database processing, the duration of complex calculations is minimized. Together they enable analysts to iterate more frequently, experiment more, share insight, and attempt to solve never-before-possible business problems.

Through case studies, learn how these technologies are creating more agile and strategic organizations that are better able to anticipate and manage change.

Learn how to accelerate business analytics in your organization. Download and read the tech dossier today.

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