Host by InforSense Date December 1, 2008 12:00 am Location InforSense Headquarters Colet Court 100 Hammersmith Road W6 7JP

Webcast Replay: Building BI Applications with Enterprise Analytic Mashups

Host:  Dave Menninger, VP Product Management, InforSense

Presenter: Anthony Rowe, Director Product Management, InforSense

Date & Time: Replay available on demand at any time.

Duration: 1 hour including Q&A

Description:In the Web 2.0 community, a mashup refers to a Web-based application, comprised of two or more components from different sources, but presented to the user as a more powerful, single, seamless experience or application. Today, most developers experimenting with mashups are using consumer-centric content from eBay, Amazon, Google, and others. However, more and more, corporate developers are adopting this concept of building Web-based applications by combining Web Service elements from a range of vendor solutions with customized, in-house line-of-business applications to present business users with their very own enterprise mashups.

Building flexible enterprise BI applications as service mashups addresses the end-to-end requirements of the analysis process – from accessing data to performing any type of analysis to visualizing and reporting the results of the analysis.  These enterprise analytic mashups provide the mechanism to quickly and easily create and share business intelligence applications within your organization. 

In this Webcast, you’ll learn how enterprise analytic mashups can enable you to:

  • Digest information from a variety of frequently changing sources

  • Conduct all types of analyses – from simple query and reporting to predictive analytics, and from structured analysis to unstructured (text) analysis

  • Leverage your existing investments in third-party and in-house analysis tools

  • Interact with data using advanced visualization techniques

  • Deliver business decisions in a timely fashion and share those results with others in your organization

Who should attend:

  • Business analysts

  • Business intelligence and data warehousing personnel

  • Statisticians and data analysts

  • Database administrators supporting business intelligence