The compainon deck for my presentation at the O'Reilly Web 2.0 Expo in NY on Nov 18, 2009

1. Building Enterprise Mashups orWhat are Enterprise Mashups, and Why Should I Care? Slideware Michael Ogrinz, author Mashup Patternshttp://www.slideshare.net/mogrinzBuilder Zo Obradovic, Senior Architect Bank of America Merrill Lynch

2. Mashups?

3. 10 Most Disruptive Technologies Enterprise Mashups to Hit $700 Million by 2013 Multicore and hybrid processors Virtualisation and fabric computing Social networks and social software Cloud computing and cloud/Web platforms Web mashups User Interface Ubiquitous computing Contextual computing Augmented reality Semantics New Report Recommends Financial Services Firms Use Mashups for Cost Cutting and Risk Management Capital Markets Firms to Spend $35 Million on Mashups in 2009 Mashups Give Defense Department Strategic Edge Enterprise Mashups Continue to Gain Momentum as Part of Enterprise 2.0 Top 10 Strategic Technologies for 2009 Wall Street & Mashups Slowly Gain Traction on Wall Street Enterprise Mashups .. IT leaders should investigate this growing space for the significant and transformational potential it may offer their enterprises Technology

4. Mashups open up business Web 2.0 opportunities 18 Emerging Topics at the Intersection of Business and IT in 2009 #8: Enterprise Mashups A third of future analytics applications will involve mashups -IBM Insights Forum CDP director Allan Keyte Enterprise mashups deliver one of the long-sought goals of computing: the ability to quickly deliver applications as needed for a specific business challenge. The enterprise mashup market will benefit from the increasing prevalence of software incorporating SOA. Worth $1.4bn in 2008, the SOA platform market will grow to $2.77bn in 2014. "Mashups Are Extremely Compelling," Says Father of DHTML, Scott Isaacs Enterprise mashup market … will expand more than tenfold to $1.74 billion by 2013. Enterprise mashups, SOA's killer app? Are enterprise mashups the Excel of our era? by 2010 mashups will be the dominant model. (80 percent) for the creation of composite enterprise applications. Mashups Accelerating and SOA Is Along for the Ride-David Linthicum

9. Enterprise Mashups?

10. You Can’t Build a Business Case for Enterprise Mashups -Anthony Bradley “you can’t build a general business case for mashups, [but] you can build a specific mashup-centric business cases.”

11. A Specific, Mashup-Centric Business Case CRM Trading System Research Portal Provide Master/Detail functionality across multiple systems

12. Fix the Business Problem! Before After Relevant Research

13. Obligatory Long-Tail Slide A B

14. When Good Enough is Great

15. Le mieux est l'ennemi du bien* *“The Best is the enemy of the Good” A good plan implemented today is better than a perfect plan implemented tomorrow

16. Put it in my hands! (“Real artists ship” –Steve Jobs)

17. Current relationship between users and IT Flexibility End Users (e.g. Excel “apps”) IT (scalable, maintainable, secure) Reliability Time-to-market

18. Mashups define a new relationship model Reliability End Users (e.g. Excel “apps”) IT (scalable, maintainable, secure) Flexibility

20. Data Extraction

21. Data Entry

22. Data Visualization

23. Scheduling and Surveillance

24. Transformation and Enrichment

25. Action

26. Clipping

28. Data Extraction

29. Data Entry

30. Data Visualization

31. Scheduling and Surveillance

32. Transformation and Enrichment

33. Action

34. Clipping

36. Data Entry, Data Extraction

37. 3 Lines of Code and You’re Set! // Declare an object to capture output GenericOutput[] output = null; // Declare an instance of the “robot” ExampleOne sample = new ExampleOne(); // Run the robot and get the results! output=sample.run(); Data Entry, Data Extraction

38. API-Enable [Almost] Anything!

39. Assembly Canvas, Publish and Promote

40. Assembly Canvas, Publish and Promote

41. The Virtuous Circle of Re-use

42. The Virtuous Circle of Re-use http://www.openmashup.org/

43. Publish and Promote

44. Clipping

45. Clipping

46. Transformation, Data Visualization

47. Transformation, Data Visualization

48. Transformation, Data Visualization

49. Harvest : AlerterAPI EnablerCompetitive AnalysisInfinite Monkeys Leading Indicator Reality Mining Reputation Management Time Series Manage : Content MigrationPortal EnablerQuick Proof of ConceptSingle Sign-OnWidget EnablerTest : AuditLoad TestingRegression Testing Enhance : AccessibilityFeed Factory: Field MedicFolksonomy EnablerFragility ReducerSmart SuggestionsSuper SearchTranslationUsability EnhancerWorkflowAssemble : Communication and CollaborationContent AggregationContent IntegrationDistributed Drill-DownEmergency ResponseFilterLocation MappingSplinter

50. “You have turned mashups into everything and therefore into nothing.” But my back feels sooooo much better!

51. Harvest : AlerterAPI EnablerCompetitive AnalysisInfinite Monkeys Leading Indicator Reality Mining Reputation Management Time Series Manage : Content MigrationPortal EnablerQuick Proof of ConceptSingle Sign-OnWidget EnablerTest : AuditLoad TestingRegression Testing Enhance : AccessibilityFeed Factory: Field MedicFolksonomy EnablerFragility ReducerSmart SuggestionsSuper SearchTranslationUsability EnhancerWorkflowAssemble : Communication and CollaborationContent AggregationContent IntegrationDistributed Drill-DownEmergency ResponseFilterLocation MappingSplinter

52. Thank You http://www.slideshare.net/mogrinz Mike: mike@mashuppatterns.com , @mogrinz http://mashuppatterns.com Zo:zo@obradovic.com, @zorano Interview the vendors: Kapow http://kapowtechnologies.com JackBe http://jackbe.com Convertigo http://convertigo.com DreamFace http://dreamface-interactive.com