Webcasts

Date: 25 October 2007, 12:00 ET (New York), Duration: 1 hour including Q&A

For more information and to register, visit www.inforsense.com/index.php?id=223

Presenter: Anthony S. Rowe, Product Manager, InforSense

Host: Dave Menninger, VP Marketing & Product Management, InforSense

Description:

Are you maximizing the value of your analytics? Learn how to empower everyone in your organization with the intelligence they need to make better decisions, faster.

Effective data analysis is invaluable to making informed business decisions. From telecommunications companies using analytics in their customer service programs to pharmaceutical companies working systems for personalized medicine, organizations are relying more heavily on analytics to improve their business operations. While there are many tools available for data analysis specialists, the key to taking full advantage of the intelligence derived from your analytics is to make it accessible to all of the decision-makers within your organization.

Join InforSense for this Webcast to learn how to embed intelligence throughout your organization. You�ll see how you can rapidly build analytical applications using a powerful, easy-to-use interface. This Webcast will show you how to benefit from:

• Comprehensive suite of analytics ranging from reporting and visualization to predictive analytics and text mining capabilities.
• Integration of data from a heterogeneous data architecture so that analytics can bridge different silos of information.
• Programming-free analytics development, based on an easy-to-use, drag-and drop environment for constructing analytical applications.
• Interactive visual analytics that provide a flexible and open visualization framework, and a comprehensive set of interactive visualization tools.
• Embedding analytics into service oriented architectures (SOA), Portals, Dashboards, Business Process Management systems, Business Rules Engines, CRM systems and your own applications to enable the delivery of analytics to all users.

• Business analysts
• Business intelligence and data warehousing personnel
• Statisticians and data analysts
• Database administrators supporting business intelligence