Describing the infrastructure around Enterprise Mashups as well as going through the different kinds of Enteprise Mashups being implemented today.

1. Enterprise Mashup Infrastructure Andreas Krohn Product Manager Kapow Technologies

6. Data: The Emerging Productivity Driver Transformational Tasks (20%) Transactional Tasks (40%) Tacit-Oriented Tasks (40%) Individualized Collaborative Structured Unstructured Task-Intensive Data-Intensive IT-Controlled Do-it-Yourself Productivity Potential Low High

8. The Long Tail of Projects Using traditional approaches just the most important projects can be implemented With Mashups the long tail of projects can be implemented # Users # Projects

11. So, Where Is The Data? Web Based Content & Data MS Office Doc’s, PDF, email RDMS, Flat files Examples Web Based (Unstructured) File system (Unstructured) Database (Structured) Page Views Document Retrieval SQL Queries Data Access Method Full Page Document Level Only Data Element Access Granularity High Med Low Knowledge Worker Productivity Potential No Proprietary Yes Programmatic API’s Exploding Exploding Modest Growth Trend 80%-85% of data 15%-20% of data Enterprise Scope

13. Inside a Mashup Mashup Mashup Builder REST Mashup Enabler Atom RSS API Web Scraping HTML AJAX API SQL Users Data Sources RPC JMS API WS* WS* DB Web Apps SQL WS* Widget Widget Widget

25. Demo Scenario – Competitive Intelligence Web Based Pricing Data

26. Questions? www.kapowtech.com www.openkapow.com More information at the Kapow Technologies booth