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How TIBCO Spotfire Analytics Empowers the Intelligence Community

In this webcast, Jim Hawley leads an interactive demonstration of the Spotfire platform, showing how analytics and data discovery helps members of the U.S. Intelligence community to unlock new and critical patterns, trends, and actionable insights.

Predictive Analytics with TIBCO Spotfire and TIBCO Enterprise Runtime for R

TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.

Putting Analytics to Work for Faster, Smarter Insights (Audio, 30 mins) By Brian Gentile, TIBCO Analytics

Inside Analysis hosts a discussion between Brian Gentile of TIBCO Analytics and industry veteran, Eric Kavanagh, CEO and senior analyst with The Bloor Group about how businesses are gathering faster, richer analytics on their organization and applying it to generate insights and influence decision-making. Topics covered include the starting point for organizations to adopt analytics today, the ways analytics are being applied across different industries, and the power of visualization to understand not only static reports, but data in motion to predict and change the course of business and yield better results.

Swedish Defence Research Agency Tests TIBCO Spotfire® Analytics Platform for Defence Materiel Planning and Interoperability Requirements Analysis

The Swedish Defence Research Agency (FOI) supports the Swedish Armed Forces in their ongoing transition towards a model-based capability development process. Among other things, FOI looks at new ways to visualize and navigate among large volumes of data in search of interesting insights that are hard to see in traditional spreadsheets. The prototypes developed as part of the initiative demonstrate how information visualization and interaction techniques can support model-based capability development involving large hierarchical data sets. Two cases were chosen as a context for the prototypes: analysis of the Armed Forces materiel plan and analysis of relations between NATO requirements and Swedish military units.

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