25,99 €
An indispensable guide showing IT leaders the way to balance the needs of innovation and exploration with exploitation and operational reliability Many books on modern IT leadership focus solely on supporting innovation and disruption. In practice these must be balanced with the need to support waste reduction in existing processes and capabilities while keeping the foundation operational, secure, compliant with regulations, and cost effective. In The Accidental CIO, veteran software developer-turned-executive Scott Millett delivers an essential playbook to becoming an impactful, strategic leader at any stage of your IT leadership journey from your earliest aspirations to long time incumbents in director and C-suite roles. You'll find a wealth of hands-on advice for tackling the many challenges and paradoxes that face technology leaders, from creating an aligned IT strategy, defining a target architecture, designing a balanced operating model, and leading teams and executing strategy. After the foreword from Simon Wardley, The Accidental CIO will help you: * Understand problem contexts you will face using the Cynefin decision making framework, and how the philosophies of agile, lean and design thinking can help manage them. * Design an adaptive and strategically aligned operating model by applying the appropriate ways of working and governance approaches depending on each unique problem context. * Organize a department using a blend of holacratic and hierarchical principles, and leveraging modern approaches such as Team Topology and Socio-technical patterns. * Develop and deploy an effective and aligned IT Strategy using Wardley mapping based on a deep knowledge of your business architecture. With this knowledge you'll be ready to create an empowered IT organization focused on solving customer problems and generating enterprise value. You'll understand the science behind what motivates teams and changes behavior. And you'll show your skills as a business leader thinking beyond IT outputs to impactful business outcomes.
Sie lesen das E-Book in den Legimi-Apps auf:
Seitenzahl: 773
Veröffentlichungsjahr: 2024
Cover
Table of Contents
Title Page
Foreword
Introduction
Why Should You Care? The CIO Challenge
Taking Action: Becoming a Strategic Leader
What Will You Learn?
I A New System of Work
1 Why We Need to Change The System
The Age of Digital Disruption
Operating in a Volatile, Uncertain, Complex, and Ambiguous Business Environment
Leading IT in a Complex and Adaptive World
Summary
2 Philosophies for a New System
Philosophies vs. Methodologies
Discovering Value Using Design Thinking
Eliminating Waste with Lean
Managing Complexity in Software Development with Agile
Strategic Decision-Making Using Wardley Mapping
Summary
3 How to Change the System
Being Agile vs. Doing Agile
Why Only Adopting the Practices of Agile Won't Work
Use Systems Thinking to Change Behavior
Changing Leaders' Mental Models
Instilling Drive through Purpose, Mastery, and Autonomy
Summary
II Designing An Adaptive Operating Model
4 The Anatomy of an Operating Model
The Anatomy of an Operating Model
The Themes of an Adaptable Operating Model
Summary
5 How We Are Organized
Organizational Structure
Understanding the Influence of Conway's Law and the Cognitive Load Theory on Team Performance
Product-Centric Development Teams
Defining Product Team Boundaries
Evolving to Business and IT Fusion Teams
Managing Cross Team Dependency
Summary
6 How We Work
IT Management Frameworks
How to Solve Problems from Discovery to Delivery
Problem-Solving Methodologies
Discovery Tools for Understanding the Problem Space
Approaches to Manage the Solution Space
Summary
7 How We Govern
What Is Governance?
Alignment: Linking Work to Strategic Intent
Managing Demand: Visualizing Work
Prioritization: Focusing on the Things That Matter
Measurement: Defining and Cascading Value and Measures
Investment: Funding for Outcomes
Decision Rights: Empowering People
Performance: Monitoring Value
Summary
8 How We Source and Manage Talent
Sourcing Strategy
Recruiting
Developing
Retaining
Summary
9 How We Lead
Adopting New Leadership Behaviors
Embracing Servant Leadership
Instilling Intrinsic Motivation
Encouraging Growth and Development
Focusing on Improving the System
Summary
III Strategy to Execution
10 Understanding Your Business
Business Anatomy
Why IT Leaders Need to Understand the Anatomy of a Business
Purpose: Starting with Why and Understanding Your North Star
The Business Model: The System of Capturing Value
Operating Model: How We Do the Work
Business Context: Understanding What Can Impact Us
Business Strategy: The Choices We Make to Win
Summary
11 IT Strategic Contribution
Linking IT Execution to Business Strategy Using Enterprise Architecture
Creating an IT Strategy
Determining IT Contribution to Addressing BAU Challenges and Achieving the Strategic Objectives
Defining Principles to Guide Technical Solutions
Determining Strategic Actions for IT Capability Maturity Improvements
Measuring Contribution in Terms of Business Outcomes
Summary
12 Tactical Planning: Deploying Strategy
Planning Considerations
Following Hoshin Kanri to Deploy Strategy
Creating a Tactical Plan
Clarify the Business Needs: Where Do We Need to Focus Our Investment?
Review the Technology Landscape: What Do We Need to Optimize?
Review the IT Operating Model: What Do We Need to Change?
How Wardley Maps Can Help Inform Target Architecture and Operating Model Choices
Defining and Prioritizing the IT Initiatives
Communicating the IT Tactical Investment Road Map
Summary
13 Operational Planning: Execution, Learning and Adapting
Operational Considerations
Operational Planning
Feedback, Learning, and Adapting
Creating a Clear Line of Sight from Strategy to Execution
A Worked Example: From Strategy to Tactics to Operational Execution
Summary
Index
Copyright
Dedication
About the Author
Acknowledgments
End User License Agreement
Chapter 2
Table 2.1: Phase I: Stop self-destructive behaviour
Table 2.2: Phase II: become more context aware
Table 2.3: Phase III: Better for less
Table 2.4: Phase IV: Continuously evolve
Table 2.5: The various stages of evolution on a Wardley Map
Table 2.6: The difference between lean thinking and design thinking
Chapter 3
Table 3.1: The difference between linear and systems thinking
Table 3.2: Beyond budgeting's leadership and management principles
Table 3.3: The difference between Type X and Type I behavior
Chapter 4
Table 4.1: Managing by output, outcome, and goal
Chapter 5
Table 5.1: Different modes of operating to support an ambidextrous organizat...
Table 5.2: The difference between project and product teams
Chapter 6
Table 6.1: IT frameworks
Table 6.2: When to favor each solution delivery life cycle
Chapter 7
Table 7.1: The processes that support doing the right things and doing the t...
Table 7.2: A balanced approach to governance
Table 7.3: Feedback loops applied at different levels of the organization
Table 7.4: Examples of leading tactical initiatives contributing to strategi...
Table 7.5: How bets and tactics contribute to and align with business outcom...
Table 7.6: Project vs. product funding
Table 7.7: Value- vs. plan-driven work.
Chapter 8
Table 8.1: The differences between coaching, mentoring, and training
Table 8.2: Using the continuous Improvement Kata for talent development
Table 8.3: Using the coaching Kata for talent development
Chapter 9
Table 9.1: The difference between a traditional and servant leader
Chapter 10
Table 10.1: How businesses adapted during the pandemic
Table 10.2: The difference in thinking in silos vs. thinking in value stream...
Chapter 11
Table 11.1: An example business strategy and measures
Table 11.2: An example of how IT actions relate to business strategy
Table 11.3: An example of the technical architectural and IT operating model...
Table 11.4: An example of how the IT tactical plans link to the IT action
Table 11.5: An example of how the strategic initiatives break down into prog...
Table 11.6: Terms used as the various levels of strategy deployment
Table 11.7: The case study business strategy
Table 11.8: An example of customer and business pain points mapped to capabi...
Table 11.9: The challenge we have with the capability
Table 11.10: Example of IT actions, and the dependency on other departments ...
Table 11.11: Examples of large operational risks that require IT strategic a...
Table 11.12: Principles based on observations of the business context
Table 11.13: Measuring the impact of IT strategic action in relation to the ...
Table 11.14: How to measure IT capability improvements
Table 11.15: Mapping an IT strategy template to the Pyramid Principle
Chapter 12
Table 12.1: Application inventory
Table 12.2: Application Analysis.
Table 12.3: Approaches to review security, data, infrastructure, and interfa...
Table 12.4: Analysis on filling technical gaps
Table 12.5: IT operating model capability gaps
Table 12.6: Using landscape analysis to identify solutions for IT initiative...
Table 12.7: IT initiatives to address IT capability needs
Chapter 13
Table 13.1: Gaps between knowledge, alignment, and effectiveness
Table 13.2: Mapping Wardley mapping techniques to the steps in the OODA loop...
Table 13.3: Questions to verify strategic alignment
Table 13.4: Customer and business pain points impacting NPS and Trustpilot s...
Table 13.5: IT strategic actions to contribute to improving customer NPS
Table 13.6: The state of the AS-IS Landscape
Table 13.7: Target architecture suggestions
Table 13.8: Tactical initiatives to move to the target state
Table 13.9: Operational projects distilled from the tactical initiative of i...
Introduction
Figure I.1: How this book is organized
Chapter 1
Figure 1.1: The Cynefin decision framework
Figure 1.2: IT needs to operate in both the ordered and unordered problem spa...
Chapter 2
Figure 2.1: The difference between philosophies, methodologies, and tools
Figure 2.2: The nonlinear and iterative five stages of design thinking
Figure 2.3: The Toyota House—the main concepts that make up the Toyota Produc...
Figure 2.4: The five-step thought process proposed by Womack and Jones in 199...
Figure 2.5: The Theory of Constraints
Figure 2.6: The Five Focusing Steps
Figure 2.7: Simon Wardleys Strategy Cycle
Figure 2.8: An example of a Wardley Map
Figure 2.9: How a Wardley Map can help visualise the appropriate method to us...
Chapter 3
Figure 3.1: The difference of doing ag...
Figure 3.2: The systems thinking icebe...
Figure 3.3: Where we have the greatest...
Figure 3.4: Linear vs. systems thinkin...
Figure 3.5: How mental models influenc...
Figure 3.6: How this book is structure...
Chapter 4
Figure 4.1: The operating model is the link between strategy and execution.
Figure 4.2: The interrelated five components of the operating model
Figure 4.3: The four themes of the adaptable operating model
Figure 4.4: The relationship of output to outcomes and impact
Figure 4.5: Multiple operating models are required to manage the spectrum of ...
Chapter 5
Figure 5.1: A hierarchy and the system of command and control
Figure 5.2: A holacracy and devolved decision rights
Figure 5.3: An organizational structure that balances a holacracy and hierarc...
Figure 5.4: An example of an organizational structure that balances holacracy...
Figure 5.5: A Wardley Map and the three modes of operating to support an ambi...
Figure 5.6: Team performance is greatly influenced by a combination of Conway...
Figure 5.7: An example of architectural design influences by teams organized ...
Figure 5.8: An example of architectural design influences by teams organized ...
Figure 5.9: How memory works and the three types of cognitive load on working...
Figure 5.10: How to optimize cognitive load
Figure 5.11: The characteristics of product-centric or product teams
Figure 5.12: Different examples of product teams
Figure 5.13: A product team based around a pricing capability
Figure 5.14: Different evolutions will suit different sizes of teams.
Figure 5.15: The comparison of the number of communication links between team...
Figure 5.16: Dunbar's numbers translated to team sizes
Figure 5.17: To keep teams small, distill them into smaller products.
Figure 5.18: The factors that can influence team boundary design
Figure 5.19: The three levels of the product taxonomy
Figure 5.20: Product portfolios are large and small to medium enterprises.
Figure 5.21: Product groups within a product portfolio
Figure 5.22: Examples of product groups at a large and small to medium enterp...
Figure 5.23: Product teams within a product taxonomy
Figure 5.24: Distilling product teams into smaller product teams
Figure 5.25: Team topology patterns
Figure 5.26: An example of a product team setup at a small retail e-Commerce ...
Figure 5.27: Projects are used to coordinate across product teams for complex...
Chapter 6
Figure 6.1: Methodologies put philosophies into practice.
Figure 6.2: Frameworks that are applicable to the various capabilities of IT...
Figure 6.3: The three main components of problem solving
Figure 6.4: Problem-solving methodologies mapped to the evolution stages on a...
Figure 6.5: The Double Diamond design process
Figure 6.6: The Double Diamond design process is based on continuous feedback...
Figure 6.7: W. Edwards Deming's PDCA cycle
Figure 6.8: The Six Sigma cycle
Figure 6.9: Problem discovery identifies the outcomes required to achieve a g...
Figure 6.10: A customer journey map
Figure 6.11: A customer journey map with a service blueprint, highlighting cu...
Figure 6.12: An event storming map
Figure 6.13: An example of mapping a value stream
Figure 6.14: Step 1, model the flow or the sequence of activities.
Figure 6.15: The updated value map with related applications
Figure 6.16: The updated value map with data on processing time
Figure 6.17: An updated value map, highlighted with opportunities for improve...
Figure 6.18: An example of applying five whys to root cause analysis
Figure 6.19: An example of a using a fishbone, or Ishikawa, diagram to highli...
Figure 6.20: Using a systems loop to model root causes
Figure 6.21: An impact map
Figure 6.22: Clarifying the goal
Figure 6.23: Actors that can influence the goal
Figure 6.24: The impacts actors can make to influence a goal
Figure 6.25: The outcomes required to achieve actor impacts
Figure 6.26: The tasks required to deliver an outcome
Figure 6.27: The anatomy of the solution space
Figure 6.28: The life cycle of a system can employ many solution delivery lif...
Figure 6.29: The project life cycles
Figure 6.30: Prince 2 and iterative delivery
Figure 6.31: The continuous delivery life cycle
Figure 6.32: Dual track development.
Figure 6.33: The lean start-up cycle
Figure 6.34: Design thinking and the lean startup
Figure 6.35: How to choose a delivery management approach
Figure 6.36: The waterfall, or BDUF, approach to delivery management
Figure 6.37: The scrum approach to delivery management
Figure 6.38: A Kanban board
Figure 6.39: The first way: Take a systems approach to the end-to-end deliver...
Figure 6.40: The second way: Ensure that there is constant feedback to optimi...
Figure 6.41: The third way: create an environment and culture that is always ...
Figure 6.42: CI and CD pipelines
Chapter 7
Figure 7.1: A goal tree
Figure 7.2: A Lean Value Tree
Figure 7.3: A revised “take” on the goal tree
Figure 7.4: Capturing demand at any level
Figure 7.5: The ideas pipeline
Figure 7.6: The A3 template follows the PDCA loop.
Figure 7.7: DIBB argument framework
Figure 7.8: Using a kanban board for project portfolio management
Figure 7.9: Teams pull work in when they have capacity.
Figure 7.10: Setting work limits
Figure 7.11: Lead time vs. cycle time
Figure 7.12: Define exit policies to govern the movement of work.
Figure 7.13: The demand on IT outside of the strategic initiatives
Figure 7.14: Using the tactical plan and target architecture to push back on ...
Figure 7.15: Using impact maps to visualize the priority of work
Figure 7.16: Teams employ demand shaping to manage smaller BAU work.
Figure 7.17: Visualizing highest value for lowest effort
Figure 7.18: Plotting initiatives to determine priority
Figure 7.19: Understanding priority using the cost of delay
Figure 7.20: Plotting IT capability initiatives to determine priority
Figure 7.21: Understanding value in terms of customer value, business benefit...
Figure 7.22: Where to use leading vs. lagging metrics
Figure 7.23: Linking business goal to operational action
Figure 7.24: Methods are designed to achieve measurements that are derived di...
Figure 7.25: Cascading purpose and measurements down the organization's level...
Figure 7.26: Framing goals in terms of customer value
Figure 7.27: Quantifying goals
Figure 7.28: Balancing measures for guardrails
Figure 7.29: Tactical initiatives, aka business outcomes, bridge strategic ob...
Figure 7.30: Tactical initiatives can be thought of as business outcomes.
Figure 7.31: Tactics produce the outcome and bets prove the outcome.
Figure 7.32: The four levels of investment strategy
Figure 7.33: Targeted levels of investment for strategic objectives
Figure 7.34: Initiatives are funded to contribute to achieving the strategic ...
Figure 7.35: Different initiatives will require different methods of funding....
Figure 7.36: Wardley Map showing how the evolution of an area can affect how ...
Figure 7.37: In product funding, investment is released based on value delive...
Figure 7.38: Product teams are funded based on strategic need.
Figure 7.39: Comparing how product teams are funded between large and small t...
Figure 7.40: Product teams “spend” their capacity on delivering the features,...
Figure 7.41: The areas of governance
Figure 7.42: Team roles
Figure 7.43: Strategic objectives are led by the exec group with support from...
Figure 7.44: Tactical initiatives are led by senior leadership and product gr...
Figure 7.45: Operational action is lead by product owners and teams.
Figure 7.46: Product teams are responsible for determining the best use of th...
Figure 7.47: Moving from project teams to product teams
Figure 7.48: Project, program, or outcome leaders can be required to coordina...
Figure 7.49: There is a responsibility at each layer of the organisation to f...
Figure 7.50: Fixed resource capacity can work on a plan driven, known scope, ...
Figure 7.51: Wardley Map showing how the evolution of an area can affect how ...
Chapter 8
Figure 8.1: T-shaped vs. I-shaped people
Figure 8.2: Simon Wardley's Explorers, Villagers, and Town Planners
Chapter 9
Figure 9.1: Moving leadership from command and control to empowerment, trust,...
Figure 9.2: Strive for autonomous teams that are completely aligned.
Figure 9.3: Maslow's hierarchy of needs
Figure 9.4: Influence your peers by changing beliefs, values, and attitudes....
Chapter 10
Figure 10.1: The five components of business anatomy
Figure 10.2: How business context changes can change strategy, business, and ...
Figure 10.3: The Business Model Canvas covers both the operating and business...
Figure 10.4: Value propositions, channels, relationships, and how revenue is ...
Figure 10.5: Components of the operating modelSource: The Business Model Canv...
Figure 10.6: The Operating Model Canvas
Figure 10.7: How value streams relate to business capabilities and processes,...
Figure 10.8: An example of a value stream
Figure 10.9: How value streams align to customer journeys
Figure 10.10: Core, extended, and supporting value streams
Figure 10.11: Value streams cross business units
Figure 10.12: Value streams require business capabilities to perform the acti...
Figure 10.13: Business capabilities are composed of people, process, and tech...
Figure 10.14: The factors in your environment that can affect your business
Figure 10.15: The growth-share matrix
Figure 10.16: The product lifecycle model
Figure 10.17: The attractiveness/advantage matrix
Figure 10.18: Michael Porters Five Forces model
Figure 10.19: The PESTEL model
Figure 10.20: The Strategy Choice Cascade
Figure 10.21: How strategic choices cascade throughout a business
Figure 10.22: The Value Disciplines model
Figure 10.23: The Value Proposition Canvas
Figure 10.24: Porter's activity system
Figure 10.25: Porter's value chain
Figure 10.26: An example of a Wardley map
Figure 10.27: The OGSM framework
Figure 10.28: An example of a strategy map
Chapter 11
Figure 11.1: The three levels of IT planning: strategic, tactical, and operat...
Figure 11.2: How Kotusev’s CSVLOD model and its artifacts relate to strategic...
Figure 11.3: The inputs, process, and outputs of creating an IT Strategy
Figure 11.4: The link between business demand and IT contribution
Figure 11.5: Use business capabilities to link IT to business success.
Figure 11.6: An example of an e-commerce business capability model
Figure 11.7: Mapping business capabilities from value streams
Figure 11.8: Mapping customer pains and linking to business capabilities usin...
Figure 11.9: Mapping business pain points and linking to business capabilitie...
Figure 11.10: Consolidating mapped business capabilities into the business ca...
Figure 11.11: Highlighting the maturity games on a business capability model...
Figure 11.12: The IT4IT reference framework.
Figure 11.13: The IT capability model based on the IT4IT reference framework...
Figure 11.14: The use of lagging vs. leading measures in strategy deployment...
Figure 11.15: The Pyramid Principle structure for effective communication
Figure 11.16: The structure of an IT strategy document based on the Pyramid P...
Figure 11.17: Highlighting key factors that will have a material impact on th...
Figure 11.18: A business strategy laid out using the OGSM template
Figure 11.19: The executive summary of IT strategic actions
Figure 11.20: Capability pain points highlighted on a customer journey map
Figure 11.21: Capability pain points highlighted on a value stream map
Figure 11.22: Linking IT strategic actions to improve business capabilities a...
Figure 11.23: Linking IT strategic actions to mitigate business challenges or...
Figure 11.24: Highlight key gaps in IT capability maturity.
Figure 11.25: The actions and how we will measure the key IT capability impro...
Figure 11.26: IT strategic principles
Figure 11.27: A one-page poster to communicate IT strategy
Chapter 12
Figure 12.1: Architecture abstraction from strategic to operational
Figure 12.2: The seven levels of Hoshin Kanri
Figure 12.3: Feedback and consensus for strategic cascade
Figure 12.4: The inputs, process, and outputs of creating a tactical plan
Figure 12.5: The three main processes of tactical planning
Figure 12.6: Creating a heat-mapped business capability model to highlight ar...
Figure 12.7: Define the target architecture to address business capability ga...
Figure 12.8: Define the target operating model to support bridging technical ...
Figure 12.9: Define initiatives to move to the target architecture and operat...
Figure 12.10: Prioritize initiatives into a tactical road map.
Figure 12.11: The output of the tactical planning process
Figure 12.12: A business capability model highlighted to show areas in need o...
Figure 12.13: Technical architecture layers to review
Figure 12.14: Mapping applications to business capabilities
Figure 12.15: Example of architecture diagram
Figure 12.16: Plotting applications on a matrix to determine life cycle decis...
Figure 12.17: Business capability categories
Figure 12.18: Choosing a method when bridging technical gaps based on the cap...
Figure 12.19: AWS Modern data architecture reference architecture
Figure 12.20: Thoughtworks technical radar
Figure 12.21: An example of a target state suggestion
Figure 12.22: The operating model is influenced by the strategy and the targe...
Figure 12.23: It is not obvious what method to use when using an application ...
Figure 12.24: It is easier to identify appropriate methods when using a Wardl...
Figure 12.25: Wardley maps deal with the entire value chain.
Figure 12.26: Start a Wardley Map by modeling user need.
Figure 12.27: Mapping the dependencies between capabilities on a Wardley map...
Figure 12.28: The evolution stages of components
Figure 12.29: Placing capabilities based on their evolution
Figure 12.30: An aggregated view of all the maps for each strategic outcome
Figure 12.31: Mapping where components related to Core, Supporting, and Gener...
Figure 12.32: Identifying weaknesses in the maps
Figure 12.33: The recommended methods for enabling capability based on evolut...
Figure 12.34: Organizing teams based on capability dependencies and evolution...
Figure 12.35: Complementing Wardley maps with a Boston matrix to determine pr...
Figure 12.36: IT initiatives address gaps in the technology architecture
Figure 12.37: An example of an initiative overview
Figure 12.38: Plotting initiatives to determine priority
Figure 12.39: The structure of an IT tactical plan document based on the Pyra...
Figure 12.40: The executive summary of IT strategic actions
Figure 12.41: An example of a tactical road map
Figure 12.42: Transformational target architecture with annotated pain points...
Figure 12.43: Transformational target architecture with annotated pain points...
Figure 12.44: Target architecture to show evolution for Data BI
Figure 12.45: Changes required to the operating model
Figure 12.46: Highlighting the challenges with the IT landscape
Figure 12.47: An example of why the phasing approach was taken
Figure 12.48: An example of an IT initiative.
Chapter 13
Figure 13.1: The three gaps that cause friction when de-losing strategy for e...
Figure 13.2: Leading through intent closes the knowledge, alignment, and effe...
Figure 13.3: An example of an OKR
Figure 13.4: An example of an OKR with child OKRs
Figure 13.5: Using OKRs to deploy tactical initiatives aka business outcomes ...
Figure 13.6: The process of operational planning
Figure 13.7: Distilling large initiatives into separate investments
Figure 13.8: Solution designs are at the operational level of the CSVLOD mode...
Figure 13.9: Product teams perform solution discovery to determine how best t...
Figure 13.10: Product team road maps get more abstract the further out they p...
Figure 13.11: A high-level operational plan covering what IT intends to deliv...
Figure 13.12: Feedback and review cadence based around Hoshin Kanri
Figure 13.13: Strategic, tactical, and operational feedback loops
Figure 13.14: Actual feedback loops depend on the project methodology being u...
Figure 13.15: The OODA loop
Figure 13.16: The Wardley strategic cycle
Figure 13.17: How the OODA and PDCA loops interrelate
Figure 13.18: Capturing information about the problem using an A3 template
Figure 13.19: A customer journey map and service blueprint highlighting the p...
Figure 13.20: A cause-and-effect diagram showing the root causes of issues
Figure 13.21: A diagram highlighting the state of the IT landscape in relatio...
Figure 13.22: A diagram highlighting the target architecture suggestions to s...
Figure 13.23: The organization structure based around value streams
Figure 13.24: Strategic objective A3 with tactical initiative countermeasures...
Figure 13.25: To demonstrate the operational level, we will focus on a single...
Figure 13.26: Root cause analysis of why OTIF is low
Figure 13.27: Linking operational projects to the tactical initiatives using ...
Figure 13.28: Tactical initiative A3 with operational project countermeasures...
Figure 13.29: Integrated strategic, tactical, and operational PDCA loops
Cover
Title Page
Copyright
Dedication
About the Author
Acknowledgments
Foreword
Introduction
Table of Contents
Begin Reading
Index
End User License Agreement
iii
xxv
xxvi
xxvii
xxviii
xxix
xxx
xxxi
xxxii
xxxiii
1
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
55
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
279
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
iv
v
vii
ix
494
Scott Millett
In the seminal “Manager's Theories about the Process of Innovation” (Journal of Management Studies, March 2002), Graeme Salaman and John Storey elegantly unravel the innovation paradox pervading contemporary organizations. They argue that the key to enduring success lies in the meticulous balance between survival today, which requires the efficient exploitation of existing competencies (marked by virtues of coherence, coordination, and stability), and survival tomorrow, which requires exploration and the dissolution of these very same virtues.
This intricate dance of dichotomies is further complicated by the axiom that today's breakthroughs morph into tomorrow's utilities. In an ever-evolving marketplace, the territories once charted in the name of exploration swiftly transition into arenas of exploitation. Furthermore, as innovations evolve into commodities, they lay the groundwork for venturing into new, adjacent domains, thereby perpetuating a cycle of renewal. In history, the standardization of simple mechanical hardware such as the nut and bolt enabled complex machinery. More recently, the transformation of bespoke computing into ubiquitous cloud services has catalyzed the emergence of Big Data and AI. This process underscores the relentless progression of technology and enterprise.
This dynamic interplay between the poles of exploration and exploitation underlines a perpetual motion, challenging the conventional understanding of management. Nothing stands still; everything is in motion; everything has a context. There are no simple solutions.
Into this turbulent landscape, organizations try to navigate and distinguish themselves with novel offerings while striving for operational excellence in commoditized domains. The constant motion and evolution from novelty to utility demands contextual agility in leadership and strategy. What works in one domain does not work in the other or even in the transition between the two. Amidst this maelstrom, leaders are tasked with decisions of monumental consequence, shaping the strategic direction, governance, talent development, and clarity with which their organizations communicate and survive both today and tomorrow. Missteps can precipitate misalignments with severe repercussions.
While many frameworks offer navigational aids in this environment, their applicability varies significantly across different contexts. The challenge of leadership lies in discerning the appropriate approach guided by the unique economic and technological contours of one's own organization. To do this, you have to understand the landscape that the organization operates within.
Dedicated to demystifying this landscape, The Accidental CIO comprehensively explores frameworks, methodologies, and techniques used by contemporary leadership and places them in context. From the strategic precision of the Hoshin Kanri process to the agility embedded in the OODA loop, from the creativity of design thinking to the adaptability of flexible planning horizons, this book weaves a rich tapestry of insights. It integrates strategic, architectural, and operational perspectives, offering a lucid understanding of the terrain leaders must navigate.
For executives championing innovation while managing commodity operations, fostering consensus, and driving strategic collaboration across all levels of the organization, The Accidental CIO emerges as an indispensable guide. In an era where adaptability and strategic foresight are paramount, this book is not just a resource but a beacon for the forward-thinking leader.
—Simon Wardley
If there is no struggle, there is no progress.
—Frederick Douglass
Be yourself. Everyone else is taken.
—Oscar Wilde
How do you get to Carnegie Hall? - Practice, practice, practice
—Anonymous
We think too much and feel too little. More than machinery, we need humanity; more than cleverness, we need kindness and gentleness. Without these qualities, life will be violent and all will be lost.
—Charlie Chaplin
It was my first day on my new job, and it hit me like a bucket of ice-cold water. It wasn't that I had imposter syndrome. I just didn't know what to do.
Back in January of 2015 I received an offer from Iglu.com, an online travel agent for the cruise and ski markets, to become its first IT director. I wanted a change from Wiggle.co.uk, where I had been the first full time developer working along the founder, development manager, and most recently an enterprise architect. The new role was a step up, but I was confident in my technical ability. After all, it was only another form of e-commerce, and I was comfortable with that. But I wasn't prepared for a role as the most senior leader in IT and one that was part of the exec group—one that not only needed to lead and inspire an IT department, ensuring day-to-day reliable operational running, but one that had a pivotal role in contributing to the organization's digital transformation. It was a role that required me to be a business leader as well as a technical leader. I realized I had a lot to learn. Over the following years I studied and grew professionally. I learned both the theory and how to put it into practice. I had begun my journey to become a strategic CIO.
This book is the codification of all the knowledge I acquired, a playbook that I hope will be useful on your journey as you transition to a CIO or an IT leadership role. My context, like yours, is unique; the challenges you experience will differ from what I faced. However, if like me you have found yourself in an IT leadership position where you were unsure on your next move, then this book will provide you the guidance to help your orientation as you navigate the trials and tribulations of a life as a CIO.
Becoming a CIO is a hugely rewarding role and one that is critical to nearly all modern businesses. Because of their unique position in the organization, CIOs understand the constraints and opportunities of the business as well as having knowledge of how to mitigate or capitalize on them. This makes them best placed to take a more active role in digital transformation projects, moving beyond implementing new technologies to spearheading organizational transformation and driving business value. However, it's still a relatively new role that's not very well understood by the rest of the business and the board; it is stressful and rapidly evolving. All of this is occurring within an environment of accelerated transformation, emerging technology, constant disruptions, rising customer expectations, against a backdrop of huge sociopolitical challenges. In short, a lot is expected from IT leaders and CIOs in this most turbulent of times.
The evolving expectations of the CIO to lead, disrupt and transform, run, mitigate risk, consolidate, and grow can appear to be contradictory based on the archetypes of IT leaders we have come to know. These contradictions form what Martha Heller calls the CIO Paradox as detailed in her book The CIO Paradox: Battling the Contradictions of IT Leadership (Routledge 2012):
The “Innovator's Dilemma” paradox refers to the conflict of having to manage the balance between the requirement to stay operationally stable, secure, reliable, and compliant with the need to innovate, experiment, and take chances.
The “Business-IT Alignment” paradox alludes to the need for CIOs to be technical experts as well as understand the business to ensure strategic alignment and coordination. This is difficult due to the complexity and rapid evolution of technology, the speed of business needs, and the time it takes to deliver technology.
The “Digital Literacy” paradox relates to the challenges that CIOs face caused by other executives' ignorance of the consequences of technology choices and how it affects the company.
The “Influence” paradox refers to the difficulty of acquiring authority to make decisions inside the business when they are often considered a service provider or an overhead.
The “Blame” paradox speaks to the difficulty of CIOs accepting accountability for the outcomes of technological projects when they don't have complete control over decision-making. This is chiefly caused by asking CIOs to deliver defined scope or output rather than outcomes.
This set of conflicting forces is deeply embedded in the operating and mental models of organizations that have been formed within contexts that are no longer relevant today. The problem is that the purpose the system (the IT operating model) was designed for has changed. The old system is based on archetypes of CIOs that are mutually exclusive in that either they specialize in running efficient operations (the service provider, order taking, stable, secure, process-oriented) or they are focused on innovation (the disruptor, adaptable, innovative, lightweight governance, and fast). CIOs don't need to be innovators or operational; they need to focus on innovation and operational stability. They need to manage digital transformation, digital optimization, and operation efficiency. A good CIO can make or break a company. However, boards hire or promote technologists. What they need are strategic leaders who specialize in technology.
Great CIOs are sought after; they are partners, cocreators, consultants, and advisors. They are business leaders first, ones that just happen to be accountable for the technology within an organization. They report to the CEO, have a seat at the top table, contribute, and sometimes lead an organization to digital transformation and strategic success. They achieve this by balancing and adapting to meet the variety of challenges they face. These are the core behaviors that they exhibit:
Coauthor strategy.
Great CIOs are not order takers. They coauthor strategy and focus on what matters, namely generating enterprise value. They can achieve this because of their deep knowledge of the business and operating models. They understand the context that the business operates in and the material factors that can affect the organization. They know what the business needs to do to be successful—where it will play and how it will win. They interpret where technology contributes and where it can lead.
Focus on outcomes over output.
It doesn't matter what you do if it doesn't make an impact. Great CIOs bridge the gap between business impact and technology output by focusing on what business outcomes are required for success, how technology can be used to achieve them, and how best to organize teams to execute them.
Structure teams for intrinsic motivation.
Great CIOs know that they are only as good as their team. Great CIOs excel in recruiting, developing, and retaining talent. They do this by ensuring teams are motivated to solve complex problems and deliver value. They achieve this by designing an operating model to support people's need for purpose, autonomy, and mastery.
Focus on being agile, not doing agile.
Great CIOs know that to bridge the paradoxes, they need to be adaptable. There is no single way of doing something. Agile is appropriate for some problems, whereas big upfront design is suitable for others. Failure is expected when exploring uncharted problem spaces but not when working in well-known and understood areas. Sometimes it's best to buy and sometimes it makes sense to build. Great CIOs adapt their methods and team dynamics depending on context.
Manage the flow of work, not people.
Great CIOs work on the system, not in it. They leverage their power to remove impediments and inspire teams with an aligned vision, using their strategic, social, and relationship skills to influence and lead in change and innovation. They manage the flow of work; they lead the people.
CIOs that show aptitude in these areas will have an impact greater than any other exec on business success. However, to get there you will need the right attitude. You will need to embrace a growth mindset. You need to continuously learn, adapt, and develop. Picking up this book is your first step on that journey.
I am going to show you how I became a strategic CIO. I'll walk you through, step-by-step, how to create an IT strategy and a tactical plan to execute it. I will show you how to design an operating model to deliver results. You'll discover how to create an IT organization that is empowered and focused on solving customer problems and generating enterprise value. You'll learn to adapt your methods depending on the context of the problem you are facing. You'll understand the science behind what motivates teams and how to change behavior. You'll be taught how to think like a business leader and focus on impactful business outcomes rather than IT output alone.
This book is organized into three parts, as illustrated in Figure I.1.
Part 1
: “A New System of Work”
I explain the underlying factors that require us to change the system, the philosophies that we need to embrace for a new way of working and thinking, and the science of how we can change the system and inspire our teams.
Part 2
: “Designing an Adaptive Operating Model”
We examine each component of the operating model, from ways of working to governance, leadership, talent, and organizational structure. I'll show you how each component relates to the others, and how they can adapt to the problem context they are addressing.
Part 3
: “Strategy to Execution”
Where I show you how you to understand your business at a deeper level so that you can interpret business needs and define an IT strategy that will contribute to business success. Then how to deploy and execute that strategy, ensuring alignment across the organization at both a tactical and operational level.
Each chapter revolves around a central argument that we need a balanced and adaptive way of working across all of IT to manage the paradoxes and the extremes of being a CIO.
Feel free to read this book from beginning to end, or if you wish, dip into any chapter that is of interest. I do suggest, however, that you read Part 1, “A New System of Work” first. Part 1 lays the groundwork and context for the philosophies that underpin much of Part 2, “Designing an Adaptive Operating Model,” and Part 3, “Strategy to Execution.”
Figure I.1: How this book is organized
This book is based on more than 20 years of experience in IT, from an operational level as engineer, to a tactical level as a development manager and solution architect, to most recently at a strategic level as an enterprise architect and CIO. I have worked for large multinational companies, startups, and high-growth organizations. I have worked with many brilliant CIOs, CTOs, IT directors, enterprise architects, CEOs, founders, and experts across many fields in IT and the wider business. When I stepped up to IT director, I looked for a book that would support me to become an IT strategic leader, one that would help me design the IT organization to address the paradoxes and challenges covered earlier, one that would show me how to effectively build and execute strategy. But there was no book. No manual. No holistic view of how to build a system for success. I had to learn the hard way. I attended many CIO/CTO events, I read anything I could get my hands on, I watched all the videos, I listened to the podcasts, I read blog articles, I spoke to other IT leaders, my old bosses, and new friends. I learned through trial and error. Many errors. Over time I was able to put the puzzle together piece by piece.
I wrote this book because I wanted to codify my knowledge and help refine my own understanding of how to be an effective CIO. I wanted to demystify the problem space and help others who will be going through a similar experience. This book shows the end of my journey, or rather the end of the beginning. The format of this book, the diagrams and content, will appear structured and polished. My journey to get here wasn't as black-and-white as the text in the book. It was never as neat and tidy, or as lined up as I might like it to have been. My journey was full of messy white boards, notebooks full of ideas, trials, and errors. The breakthroughs were made collaboratively with my team, usually over a cup of tea. I am sure your experience will be just as challenging and chaotic, but I hope ultimately fun. My intention with this book is that by sharing my knowledge, it will help you on your journey.
As with all good stories, we will begin at the beginning. In Chapter 1, “Why We Need to Change the System,” we will examine the underlying factors behind digital disruption that have converged to create a volatile, uncertain, complex, and ambiguous business landscape. We will look at why this has driven the need for new ways of working: the need to embrace collaboration, customer centricity, and fast feedback cycles and the ability to quickly adapt, while at the same time ensuring operational security, stability, and cost control.
The rest of the story goes like this:
Chapter 2
: Philosophies for a New System
.
Where I introduce you to lean, design thinking, agile, and Wardley mapping. These underlying philosophies will be used to shape your strategic thinking.
Chapter 3
: How to Change the System
.
Where I explain systems thinking as a way of making sense of complexity and how mastery, purpose, and autonomy can instill intrinsic motivation in teams.
Chapter 4
: The Anatomy of an Operating Model
.
Where I examine the various components of an operating model that work together to determine “how things are done.”
Chapter 5
: How We Are Organized
. Where I delve into the how and why of structuring a department and the development teams within it.
Chapter 6
: How We Work
.
Where I cover the many approaches to understanding and solving problems and how to choose the most appropriate method.
Chapter 7
: How We Govern
.
Where I discuss how the various elements of governance can adapt and complement the ways of working depending on unique problem context.
Chapter 8
: How We Source and Manage Talent
. Where I detail perhaps one of the most important responsibilities of a CIO succeeding. How we can attract, develop, and retain talent.
Chapter 9
: How We Lead
.
Where I introduce you to the notion of servant leadership and how, by support and leading rather than managing teams, you can get the best out of them.
Chapter 10
: Understanding Your Business
. Where I enable you to understand your business at a deeper level.
Chapter 11
: IT Strategic Contribution
. Where I show you how to interpret business need and create an IT strategy.
Chapter 12
: Tactical Planning: Deploying Strategy
.
Where I explain how to deploy strategy and define the tactical initiatives that will bridge between strategic intent and operational action.
Chapter 13
: Operational Planning: Execution, Learning, and Adapting
. Where I examine operational execution and how to review and adapt strategic, tactical, and operational planning based on feedback.
Chapter 1:
Why We Need to Change The System
Chapter 2:
Philosophies For A New System
Chapter 3:
How To Change the System
It is not the most intellectual of the species that survives; it is not the strongest that survives; but the species that survives is the one that is able best to adapt and adjust to the changing environment in which it finds itself.
—Leon C. Megginson on Darwin's On the Origin of Species
It is not necessary to change. Survival is not mandatory.
—W. Edwards Deming
The techniques that worked so extraordinarily well when applied to sustaining technologies, however, clearly failed badly when applied to markets or applications that did not yet exist.
Clayton M. Christensen, The Innovator's Dilemma: When New Technologies
—Cause Great Firms to Fail
The strategic role of IT has increased greatly in the last number of decades due to the impact of digital technologies at both a business and a social level. The old model of IT as a support center or an order taker is outdated in today's complex digital business world, where pace, adaptability, creativity, innovation and collaboration are fundamental to succeed in both existing and new business endeavors. This requires a new IT operating model. One that can contribute to digital exploration and the discovery of new opportunities but at the same time can maximize and exploit the performance of an incumbent business model.
This chapter begins with an examination of the impact that new technology, rising customer expectations, and an adaptive competitive set have had on the business landscape and why it is now often characterized as a volatile, uncertain, complex, and ambiguous environment. This context explains the complex and unpredictable challenges the business, and therefore IT leaders, will face. This uncertainty requires a change in how we operate, as the characteristics and approaches to these new problems are very different to the traditional ways of working formed many decades ago. But at the same time, we must understand what has not changed. IT leaders still face the same problems of supporting an organization’s need to scale in a cost effective and secure manner.
To understand how best to manage challenges in support of these two extreme ends of business need, and everything in between, we will leverage the Cynefin decision framework. The framework will aid your situational awareness, helping you to categorize problems based on observable characteristics. Through this categorization of problems, you will learn of the most appropriate methods of approaching them, which will give you a greater chance of succeeding in solving them.
The bottom line is that we need an adaptive IT operating model that is fit for purpose for today's complex and volatile business environment, one that can innovate and cocreate but at the same time provide scalable and efficient solutions to exploit the organization’s current model and maximize value.
Software is eating the world, it is the rise of the knowledge worker, and according to Davos World Economic Forum, we are in the Fourth Industrial Revolution. Call it what you will, but the speed at which technology has impacted our lives, from both a business and social context, has focused the need for a more strategic IT leadership. This digital disruption is important to understand as it is the fundamental reason IT leaders, and businesses, need to change the way they lead and make decisions. The factors causing this disruptive business landscape are faster and cheaper technology, evolving customer expectations, adaptive organizations, and new business models.
Access to cheap, pay as you go, infinite cloud computing power and storage, means low cash flow startups that can't afford large capital investments are no longer prohibited from launching into, and disrupting, established markets with speed. Managed cloud services for databases, infrastructure, and machine learning allow companies to focus on value-add activities such as innovation and experimentation by building upon a rising platform of leading-edge capabilities rather than focusing on keeping the lights on. The adoption of mobile technologies, voice-activated assistants, and connected homes has meant that technology is penetrating every aspect of our lives, and businesses have been keen to capitalize on being able to reach customers 24/7.
As technology became cheaper and more powerful, so did data storage and the tools to analyze it. This, coupled with the explosion in the amount of data that was available on customer behaviors due to the always-on connected devices and IOT, enabled companies to start creating powerful and relevant experiences for end users. Digital companies are now able to make better choices on how to evolve their products and services by analyzing the mass of information gained from customer behavior. Data visualization and analytics platforms are easier to use than ever before to gain deeper insights and understanding; furthermore, these platforms are made directly available to the teams that run business departments and make decisions, vastly reducing the lead time from insight to action.
Perhaps the single biggest impact from the advances in technology and new value propositions is that of the shift in expectations and the influence of customers on today's business environment. Customers have high expectations for an immediate response to service requests and the fulfillment of purchases 24 hours a day and seven days a week. Personal time by end users is increasingly spent in the cloud on highly polished user experiences with high levels of customer service. This results in customers, both internal and external, having much lower tolerances and higher expectations, when it comes to user experience than before.
Consumer influence is now greater than ever due to the wide adoption of social media platforms, which enable customer networks to have a direct impact on brands. Because of the power of customers, there has been a shift to how organizations are selling and positioning themselves. Customer-first and customer-centered strategies are now the norm due to the value customers place on service and product experience. This is heavily influenced by the large tech companies such as Amazon and Google.
Companies that have thrived in the digital era have been those that have been able to adapt their ways of working. Highly collaborative, customer focused businesses who learn and adapt at pace, are far better positioned to remove constraints and exploit opportunities. Traditional methods of having a strategy with a fixed three-year detailed plan is no longer as useful as they once were due to the rapid pace at which competition and customer expectations are moving. Companies that have embraced and pushed down a learn-and-adapt feedback cycle to employees versus a command-and-control mentality are finding that they can innovate far more effectively. Pushing down accountability and autonomy to highly skilled and talented employees that are close to the problem, and aligned to the company strategic need and vision, is proving to be an effective way of working. Empowering workers to analyze data to identify patterns and trends to make more informed choices and better decisions when determining what to do to achieve goals is reaping rewards. Embracing the reality of the sometimes-chaotic rate of change and unpredictability in the business context rather than trying to control it is really the only strategy.
Innovation has proved to be ever more essential for businesses to adapt and transform. Because of the art of the possible that new digital technologies afford, organizations should challenge long-held assumptions around business model propositions, test hypotheses through fast and inexpensive experimentation, and be comfortable with making mistakes along the way to learn. Cloud-based technology has made it much faster to test ideas without committing to large upfront costs. To avoid being disrupted, progressive businesses are disrupting their own business models. This ruthless focus on innovation and self-disruption through continuous learning, all enabled by a culture that values experimenting and not being afraid to fail, is now a fundamental capability that is needed to succeed.
The convergence of technology, shifting customer expectations, and the rise of highly adaptive organizations has led to a tremendous amount of business model change, not only through the digitalization of existing value propositions but also through the creation of new business models. This evolution has been powered largely by a move from products to services and platforms. Products are increasingly moving from an ownership model to an access model, and customers are valuing experiences that evolve daily over waiting for the next version of a product. We no longer buy music; we rent it. We don't own films; we stream them. We buy smart devices connected to the Internet along with subscriptions to services. Free models, subscription, on-demand, and freemium are just some of the new ways to sell products as services that have helped to disrupt the incumbent business models.