When Business Met IT Can Two Friends Mashup Together and still Love each other in the Morning? Introduction to Enterprise Data Mashups September 4 th 2008 Justo Hidalgo VP Product Management and Consulting [email_address] Copyright held by the film company or the artist. Claimed as fair use regardless.
Needs 1. Aggregate Data 3. Exchange Data Enterprise Suppliers Customers 2. Enrich Data Apps Data Services
Enterprise Mashup Architecture, according to the Analysts
Denodo Combines the “Innovation” of Web Mashups … “ These technologies are more basic, with ease of use as the primary design criteria” “ These technologies will, for the most part, not satisfy a broad robust enterprise need but may serve as point tools to enhance the overall strength of the enterprise mashup architecture.” - Gartner
With “Enterprise-Class” Features and Quality of Service “ Denodo Technologies - Cool Vendor 2007” “ Denodo offers mashup capabilities that are very strong in accessing and processing information from a variety of internal and external sources for delivery as a "mashable" feed.” Information integration is their core competency. ” - Gartner
Enterprise Data Mashup Architecture, according to us
Enterprise QoS- Query Optimization, Reliable, Failover, etc.
ENTERPRISE ECOSYSTEM Enterprise Infrastructure / Web Platform Enterprise & Web Applications RIA, Social Software, GUI, Portals
Mutual Benefits Web Mashups Data Mashups Enterprise Data Integration BPM ESB EAI ETL Data Warehouses Enterprise Infrastructure / Web Platform Enterprise & Web Applications RIA, Social Software, GUI, Portals ENTERPRISE ECOSYSTEM WEB MASHUPS DATA MASHUPS User experience / global access Enterprise-class features ?
Competitive Price Comparison … Denodo Web Automation & Extraction Can Access Structured Data Hiding Behind Web Interfaces Access Competitors Website for up-to-date product information Automatic web navigation – use zip code to find available products in your area Extract product information from websites into internal database Websites contain product information Internal Database
Competitive Data Mashup for Sales Automation Leads Process Automated by Denodo Competitors Physician Registry Industry Organizations Leads Sorted by Territory CRM System
Workflow - Measure Lead Quality Combined physician list CRM Contact History 3. Workflow Publish Process Extracted Name Contact Name Pamel, Gregory J. Pamel, Greg J. Belmont, Sandra Belmont, Sandy Fox, Martin L. Fox, Martin Qualifications & Academic Listings Names
Quality of Lead – based on:
On Competitor Site (1 pt)
Prominence (1 pt)
matches 2 or more keywords
Location - near rep (1 pt)
In CRM System (1 pt)
Lead Quality 3,4 pts - High 2 pts – Med 1 pt - Low Name Association to Keywords Keyword Taxonomy Filters LASIK Excimer laser Keratomileusis Microkeratome Bladeless PRK - Photorefractive Keratectomy Refractive Surgery Index of all keywords associated with names
Publish - Map New Leads based on Quality Score Visual Competitive Sales Guide Hi Score Med Score Low Score Key