1. Troux Worldwide Conference 2013
Title
(46 pt. HP Simplified
bold)
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 Walker
2

3. Today's Highly Impactful EA
Session
Organizations Make
Value Driven Decisions
3

4. Increasing EA Effectiveness
Today's Value Driven Decisions
Session
Evidence of the Shift
Tools for your Journey
My Experiences
4

5. Disclaimer…
5

6. Disclaimer…
Demo Free Session
6

7. Disclaimer…
Demo Free Session
Theory Need Not Apply
7

8. A Story

9. Enterprise Architects are
Change Agents
9

10. To What
End?
Change Agent
What we do
10

11. To What
End?
Change Agent Business
Value
What we do Results we produce
11

12. Balancing Value
12

13. To What
End?
Change Agent Decisions Business
Value
What we do Results we produce
Informed EA’s Drives Maximized Business Value
13

14. Value driven
Decisions
Greater benefits
+ Outcome driven
Information combined with the EA
Information Experience is the path to Maximize Value
14

15. A Mental Frame
15

16. Understanding Hierarchy
Wisdom
Knowledge
Information
Data
16
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 can
get 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 Hierarchy
H
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 decisions
Input
Described at each Stage are made on input
of the Hierarchy applied to each Stage of
the Hierarchy
Information
Data
24

25. Applying in the Real-World
Wisdom
Knowledge
Result
Input
Information
Poor performance Fix bugs
Broken Search Data Clean up data
60-70% duplication
25

26. Applying in the Real-World
Wisdom
Knowledge
Result
Input
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% duplication
26

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 parties
Input
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% duplication
27

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 parties
Input
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% duplication
28

29. Information Overload
Information
Overload Image goes here
29

30. Enterprise
Growth
Rings
30

31. Complexity built on Legacy
2010 – Cloud Apps
Many homegrown apps
1975 – First Mainframe Apps
(COBOL, FORTRAN, Assembler)
1985 – Open Systems Apps
2005 – Service Oriented Apps Many homegrown apps
Many homegrown apps (C++)
(J2EE, .Net, Web Services )
1995 – Distributed Apps
N-Tier Architecture
31 (C++, VB, Java)

32. How do we manage this?
Methods for
Management Tree ring Image goes here
32

33. Methods for Management
1. Capture
2. Operationalize
3. Govern
33

34. Leverage
Portfolios to
Capture
34
#1

35. Many Types of Portfolios
Business Architecture Planning & Operational
Portfolios Portfolios Execution Portfolios
Portfolios
35

36. Many Types of Portfolios
Market Landscape
Business Models
Strategy
Capabilities & Process
Business
Portfolios
36

37. Many Types of Portfolios
Architecture Development
Architecture Landscape
Architecture Decisions
Capabilities
Architecture Guidance & Patterns
Portfolios
37

38. Many Types of Portfolios
Asset & Application
Portfolios
Program & Project Portfolios
Human Resources
Planning & Competencies
Execution Requirements
Portfolios
38

39. Many Types of Portfolios
Service Management
Incident Management
Problem Management
Operational
Portfolios
39

40. Operationalize
Organically
Through
Methods
40
#2

41. We use many of them today
In 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 Framework
41

42. Enable
Decisions
through
Governance
42
#3

43. Agile Governance
Through Value Based Decisions
Governance Architecture Delivery
• Architecture Reviews • Architecture Decisions
• Principles & Standards • Architecture Trade-Offs
• Decision Support • Architecture Visioning
Portfolios
43

44. Three Take-
Aways to
Remember

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
Decisions
H
Value
&
Wisdom
Impact Experience Matters
Value Driven Decisions Happen Here
Knowledge
Information
Data
L
46

47. #3: Organically Integrate Enterprise Portfolios into
Existing Methods
47

48. #3: Organically Integrate Enterprise Portfolios into
Existing Methods
EA Tools like Troux Supports this Concept
48

49. Thank You
49