Highly impactful ea organizations make value driven decisions
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  • 1. Troux Worldwide Conference 2013Title(46 pt. HP Simplifiedbold)Subtitle (18 pt. HP Simplified)Speaker’s name / Month day, 2012 Mike Walker | Enterprise Architecture and Strategy Advisor | Hewlett-Packard http://www.MikeTheArchitect.com
  • 2. Mike Walker2
  • 3. Todays Highly Impactful EA Session Organizations Make Value Driven Decisions3
  • 4. Increasing EA Effectiveness Todays Value Driven Decisions Session Evidence of the Shift Tools for your Journey My Experiences4
  • 5. Disclaimer…5
  • 6. Disclaimer… Demo Free Session6
  • 7. Disclaimer… Demo Free Session Theory Need Not Apply7
  • 8. A Story
  • 9. Enterprise Architects areChange Agents9
  • 10. To What End? Change Agent What we do10
  • 11. To What End? Change Agent Business Value What we do Results we produce11
  • 12. Balancing Value12
  • 13. To What End?Change Agent Decisions Business Value What we do Results we produce Informed EA’s Drives Maximized Business Value13
  • 14. Value drivenDecisions Greater benefits + Outcome driven Information combined with the EAInformation Experience is the path to Maximize Value14
  • 15. A Mental Frame15
  • 16. Understanding Hierarchy Wisdom Knowledge Information Data16 Jennifer Rowley, (2006) "Where is the wisdom that we have lost in knowledge?", Journal of Documentation
  • 17. Understanding Hierarchy Judicious application of knowledge through deep understanding and realization of the environment. Wisdom (e.g., What do you peers do, analysts, proven practices) Synthesized empirical information mixed with Knowledge experience and expert insight. (e.g., Applying your experiences and methods to the architecture descriptions and capabilities) Information Structuring of data to build context and meaning (e.g., Breaking down context-less documents into structured information that can be associated) Data Context-less raw building blocks (e.g., Visios, architecture documents on file shares)17
  • 18. Understanding Hierarchy Judicious application of knowledge through deep understanding and realization of the environment. Wisdom (e.g., What do you peers do, analysts, proven practices) Synthesized empirical information mixed with Knowledge experience and expert insight. (e.g., Applying your experiences and methods to the architecture descriptions and capabilities) Information Structuring of data to build context and meaning (e.g., Breaking down context-less documents into structured information that can be associated) Data Context-less raw building blocks (e.g., Visios, architecture documents on file shares)18
  • 19. Understanding Hierarchy Judicious application of knowledge through deep understanding and realization of the environment. Wisdom (e.g., What do you peers do, analysts, proven practices) Synthesized empirical information mixed with Knowledge experience and expert insight. (e.g., Applying your experiences and methods to the architecture descriptions and capabilities) Information Structuring of data to build context and meaning (e.g., Breaking down context-less documents into structured information that can be associated) Data Context-less raw building blocks (e.g., Visios, architecture documents on file shares)19
  • 20. Understanding Hierarchy Judicious application of knowledge through deep understanding and realization of the environment. Wisdom (e.g., What do you peers do, analysts, proven practices) Synthesized empirical information mixed with Knowledge experience and expert insight. (e.g., Applying your experiences and methods to the architecture descriptions and capabilities) Information Structuring of data to build context and meaning (e.g., Breaking down context-less documents into structured information that can be associated) Data Context-less raw building blocks (e.g., Visios, architecture documents on file shares)20
  • 21. Data canget in the Way I can make a decision with 30% of the information. Anything more than 80% is too much. - Colin 21 Powell
  • 22. Understanding HierarchyH Value Judicious application of knowledge through deep & understanding and realization of the environment. Impact Wisdom Synthesized empirical information mixed with Knowledge experience and expert insight. Information Structuring of data to build context and meaning Data Context-less raw building blocks L 22
  • 23. Back to our story…
  • 24. Applying in the Real-World Wisdom Knowledge Result Input on the Problem The results if decisionsInput Described at each Stage are made on input of the Hierarchy applied to each Stage of the Hierarchy Information Data24
  • 25. Applying in the Real-World Wisdom Knowledge ResultInput Information Poor performance Fix bugs Broken Search Data Clean up data 60-70% duplication25
  • 26. Applying in the Real-World Wisdom Knowledge ResultInput Business Capabilities not met Select product features needed Poor information health Information Fix root information issues Disconnected Fix integration Poor performance Fix bugs Search broken Data Clean up data 60-70% duplication26
  • 27. Applying in the Real-World Wisdom Drives the right questions to ask Experienced architect Re-evaluates the entire solution Solved similar problems Knowledge Result Brings in third partiesInput Leverages information Vendor “Bake Off” Business Capabilities not met Select product features needed Poor information health Information Fix root information issues Disconnected Fix integration Poor performance Fix bugs Search broken Data Clean up data 60-70% duplication27
  • 28. Applying in the Real-World Experienced architect Drives the right questions to ask Deep Subject Matter Expert Re-evaluates the entire solution Maps to deep understanding to Wisdom drive solution Drives the right questions to ask Experienced architect Re-evaluates the entire solution Solved similar problems Knowledge Result Brings in third partiesInput Leverages information Vendor “Bake Off” Business Capabilities not met Select product features needed Poor information health Information Fix root information issues Disconnected Fix integration Poor performance Fix bugs Search broken Data Clean up data 60-70% duplication28
  • 29. Information OverloadInformation Overload Image goes here29
  • 30. Enterprise Growth Rings30
  • 31. Complexity built on Legacy 2010 – Cloud Apps Many homegrown apps 1975 – First Mainframe Apps (COBOL, FORTRAN, Assembler) 1985 – Open Systems Apps2005 – Service Oriented Apps Many homegrown appsMany homegrown apps (C++)(J2EE, .Net, Web Services ) 1995 – Distributed Apps N-Tier Architecture31 (C++, VB, Java)
  • 32. How do we manage this?Methods forManagement Tree ring Image goes here32
  • 33. Methods for Management 1. Capture 2. Operationalize 3. Govern33
  • 34. LeveragePortfolios toCapture34 #1
  • 35. Many Types of Portfolios Business Architecture Planning & Operational Portfolios Portfolios Execution Portfolios Portfolios35
  • 36. Many Types of Portfolios Market Landscape Business Models Strategy Capabilities & Process Business Portfolios36
  • 37. Many Types of Portfolios Architecture Development Architecture Landscape Architecture Decisions Capabilities Architecture Guidance & Patterns Portfolios37
  • 38. Many Types of Portfolios Asset & Application Portfolios Program & Project Portfolios Human Resources Planning & Competencies Execution Requirements Portfolios38
  • 39. Many Types of Portfolios Service Management Incident Management Problem Management Operational Portfolios39
  • 40. OperationalizeOrganicallyThroughMethods40 #2
  • 41. We use many of them todayIn our Enterprise Architecture Methods ADM Phase Artifacts Preliminary Principles Catalog Architecture Vision Stakeholder Map Matrix Business Architecture Organization/Actor Catalog Role Catalog Business Service/Function Catalog Business Interaction Matrix Actor/Role Matrix Information Systems Data Entity/Data Component Catalog (Data Architecture) Data Entity/Business Function Matrix Application/Data Matrix Information Systems Application Portfolio Catalog (Application Interface Catalog Architecture) Application/Organization Matrix Role/Application Matrix Application/Function Matrix Application Interaction Matrix Technology Architecture Technology Standards Catalog Technology Portfolio Catalog Application/Technology Matrix TOGAF Architecture Repository TOGAF Content Framework41
  • 42. EnableDecisionsthroughGovernance42 #3
  • 43. Agile GovernanceThrough Value Based Decisions Governance Architecture Delivery • Architecture Reviews • Architecture Decisions • Principles & Standards • Architecture Trade-Offs • Decision Support • Architecture Visioning Portfolios43
  • 44. Three Take- Aways toRemember
  • 45. #1: Enterprise Portfolios alone won’t do it…H Value & Impact Wisdom A fool with a tool… Knowledge … is still a fool Information Data L 45 http://www.mikethearchitect.com/2010/05/a-fool-with-a-tool-is-still-a-fool.html
  • 46. #2: Experience + Information = Value Driven DecisionsH Value & Wisdom Impact Experience Matters Value Driven Decisions Happen Here Knowledge Information Data L 46
  • 47. #3: Organically Integrate Enterprise Portfolios intoExisting Methods47
  • 48. #3: Organically Integrate Enterprise Portfolios intoExisting Methods EA Tools like Troux Supports this Concept48
  • 49. Thank You49