5W1H methodology 28, 29, 49, 60, 154
Accenture data maturity model 89, 92, 93
accountability and responsibility 69
see also EVM (earned value management) and programme delivery
Agile methodologies 19, 40, 68, 75, 86, 146, 180–1, 185, 189
AI (Artificial Intelligence) 7, 110, 111
ALCOA and data integrity 96
analytics capability 106–10, 118, 167, 184
Ansoff, Igor 2
Art of War, The (book) 1
Asia-Pacific Economic Cooperation 100
aspirational objectives and OKRs 233
assets of an organisation 15, 15–16
Austin, Jeff 196
Australia and data retention 99
Balanced Scorecard, The (book) 154
BDN (benefits dependency network) 197–8
benefits tracking through strategy implementation 227–8
BI (business intelligence) tools 104, 105, 132
Boston Consulting Group 1
brainstorming 192
Branson, Richard 196
Brazil and data retention 100
breaches of regulations 34
Bridges Business Consultancy 26
British Airways 36
business value of the data-driven organisation 112
Canada and data retention 100
Carucci, Ron 26
CBER-CDER Data Standards Strategy 98, 98
CDO (Chief Data Officers) 19, 212
Chandler, Alfred 2
change management 137–8, 151–2, 163, 174–5, 185, 204, 213–15, 251
and barriers to 35, 131–7, 274
Chile and data retention 100
China and data retention 100
Churchill, Winston 175
CIOs (Chief Information Officers) 19, 212
Citigroup 34
clarity and data strategy 22–3, 34, 64, 84–5
see also CLEAR approach
Clausewitz, Claus von 1
CLEAR approach 50, 59, 75, 113
CMMI (Capability Maturity Model Integration) Institute 89, 91, 93
committed objectives and OKRs 233
Common Education Data Standards 98
communications and accessibility 59–61, 126–7, 143–6, 177–82, 274
impact of the arrival of the PC 270–1
and organisational maturity 141–3
competitive strategies in the private sector 3–54
Competitive Strategy (book) 2
Concept of Strategy, The (book) 2
control versus exploitation of data 56
coronavirus pandemic 6, 175, 273
Corporate Strategy (book) 2
corporate strategy and data strategy alignment 17–18, 18, 20–2, 36, 37–8, 43–5, 113, 117, 180, 187, 257–8
and stakeholder engagement 22, 66, 188
see also interrelationships between organisational strategies
cultural barriers to change 133–4, 274
culture of the organisation 127–31, 133–4, 241–3
customer strategy 117
and customer engagement 176–9, 190–4, 193, 196
and customer intimacy and competitive strategy 53, 54
and marketing analytics 118, 243–4
Darwin, Charles 200
data as an asset 14–16, 15, 23, 236–40, 270
data capability assessments 103, 184–5, 211–12, 250, 252–3, 274
data-centric environments 248
data cleansing for a customer view programme of UK bank 271–2
data compliance and regulation 5, 8, 19, 36–7, 46–7, 99–101, 119, 248
across different market sectors 55, 70
and fines for data misuse 6, 34, 95
data exploitation 56, 103–7, 272
data flow and the triumvirate of people, process and technology 16, 16–17
data governance 93–6, 101, 102
data maturity of the organisation 37–8, 235–6, 246
and analytics maturity models 106–8, 109
and maturity assessments 95, 141–3, 165, 166, 210–11, 235–6
and maturity models 89–90, 91–2, 105
and people capability, information delivery and organisational maturity 84, 85
see also data compliance and regulation
data standards 97–9, 101–2, 102
Data Standards Authority (UK) 99
data storage 18
data strategy 7–10, 12–13, 244
across organisational and industrial sectors 264–5
data systems 103
data volumes and technological advances 3–4, 272
defining the data strategy 49–50, 268, 269, 273
de Gaulle, Charles 171
deliverability in data strategy 66–8
Deloitte Global Human Capital Trends reports 128–9, 131
dependencies 160–2, 201, 249, 250, 251–2, 256, 274
development of the data strategy 58–72
Devlin, Dean 161
Disraeli, Benjamin 200
distrust of technological change 118
diversity in the organisation 61–2
Dodd–Frank Wall Street Reform and Consumer Protection Act (US, 2010) 96
drafting the data strategy 85–7, 120–1, 263
DSDM (dynamic systems development method) 181
Dulles, John Foster 222
duplication 39
Economist, The (magazine) 148, 157
Eisenhower, Dwight D. 168
employee engagement with strategy implementation 178–9
enabling in data strategy 68
Engaging Leadership model 24, 25
Enron scandal 6
enterprise planning system 271
ethics and the data strategy 51, 111
EU 36
evaluation assessments to generate performance measurement 221–7, 253–4
EVM (earned value management) and programme delivery 234–5
Excel spreadsheet data 38, 132
execution of data strategy 5, 26–8, 113–14, 148–56, 162–4, 168–70, 269–70, 270
and resource alignment 155–6, 171, 205–6
external audiences 63
external interests and strategy implementation pitfalls 41–2
Facebook 238
failure of data strategies 33–4, 153–7, 169, 221–2
FBM (Fogg behaviour model) 225
FDA (US Food and Drug Administration) 96, 98
Fields, Mark 130
flexibility of the data strategy 19–20, 27–8, 162–4, 200–1, 262–3, 269–70, 275
and adapting to changing market conditions 243–6
and managing change 201–3, 202
flow diagrams 81
focus groups 191
Fogg, B.J. 225
Follos, Malcolm 150
FP&A strategy data maturity model 109
Franklin, Benjamin 149
Fujitsu 118
Gantt chart 81
gap analysis 2
Gartner data governance maturity model 94
GDPR (General Data Protection Regulation) 38, 41–2, 99–100
Goldman Sachs 34
governance and strategy implementation 188, 189
group dynamics and customer interviews 191–4, 193
Grove, Andy 232
Guibert, Count 1
Gumz, Joy 174
Handy, Charles 241
Harvard Business Review (periodical) 2, 26
Henderson, Bruce 2
Herzberg model of motivational behaviours 138
homeostasis 135
HR strategy 118
HSBC 264
Humby, Clive 237
Iacocca, Lee 126
IBM 6
ICO (UK Information Commissioner’s Office) 36
IFRS (International Financial Reporting Standards) 15
Imai, Masaaki 176
inclusivity in the organisation 62
India and data retention 100
Infonomics (book) 237
information ecosystem 13, 14, 84
information literacy 132
innovation 55
inspiration in data strategy 65–6
International Open Data Charter 101
interrelationships between organisational strategies 17, 18, 20–1, 36, 48, 68, 116
relevancy in the wider business 28–31, 158
interviews with customers and stakeholders 190–1
intranets 177
IT function 19, 103, 104, 118–19
Japan and data retention 100
Journal of Management & Organization (journal) 113
Judd, H. Stanley 73
just-in-time logistics 271
KAB model 225
Kanban boards 82
key drivers of data strategy 70–1, 113
see also variance in data strategies across organisations
Kirkpatrick’s evaluation model 225
Kotter, John 144
KPIs (key performance indicators) 14, 51, 158, 186, 229, 229–31
Laney, Doug 237
language use in data strategy 63–4
learning from experience 219, 262
Magenta Book 223
Management: Tasks, Responsibilities, Practices (book) 2
managerial capability and strategy execution 164–5, 166, 184–5, 206–7
market conditions 163, 202, 244–6
marketing strategy 118
Marriott International 36
Mars Climate Orbiter 6
McKeown, Dr Max 58
McKinsey maturity model 106
Measure What Matters (book) 232
mentoring and staff development 208–9
see also skills acquisition
mergers and acquisitions 129–30, 248
MI (management information) 13, 104, 117
military thought and strategy 1, 49, 168, 195
Mintzberg, Henry 3
mobilisation phase of data strategy execution 149, 150, 262
monopolies and data regulatory frameworks 55
Montgomery, Cynthia 5
National Data Strategy (UK) 247
NEP (UK National Enabling Programme) 253
networking 25
New Zealand and data retention 100
Nightingale, Earl 148
observation of customers and key stakeholders 194
OECD (Organisation for Economic Co-operation and Development) 100
OKRs (objectives and key results) 229, 232–4
open data initiatives 101–2, 102
Open Standards Directory 102
operational excellence and competitive strategy 53, 54, 55
organisational barriers to change 132–3
organisational direction and the importance of data 31
Pascal, Blaise 87
Patton, Gen George S. 168
PDCA (plan–do–check–adjust/act) 19, 40, 146
performance culture 156
performance measurement 222, 229, 229–30, 229–34
PESTLE (political, economic, sociological, technological, legal and environmental factors) and strategy cycles 218
PIs (performance indicators) 231
pitch for a data strategy 46–8, 49–50, 61, 239
pitfalls in strategy implementation 40–4
planning and budgeting 158
PMO (Programme Management Office) 182, 183–4, 185, 195
positioning of data strategy within the organisation 11–23, 16, 18, 35
post-implementation reviews 262
Practice of Management, The (book) 1
pre-implementation review 151–2, 161, 165–7, 253
PRIDE acronym and the development of data strategy 64–8, 69
prioritisation process of data strategy implementation 187–8, 204, 250–1, 274
private sector organisations and competition 53
product leadership and competitive strategy 53, 54
project management and data strategy implementation 39–40, 274
Projectmap 81
Prosci 137
prototyping see strawman approach
Prudential Regulation Authority of the Bank of England 34
psychological barriers to change 130, 134–5
public sector organisations and competitive strategies 54–5
purpose in data strategy 64, 88, 92–3
RACI (RASCI) model 171–4, 172, 176, 183
radial grids 81
radiography 110
RAID (risks, assumptions, issues and dependencies) 120, 121, 124, 152, 159, 160, 161, 168, 169, 183
RAVE (relevance, awareness, value, execution) principles 58, 72, 119
realism and the vision of the data strategy 74–5
red teams and the final draft 123–4
regulated environments 265
see also data compliance and regulation
relevance in data strategy 65, 119–20
research into the scope of a data strategy 35
resistance to a data strategy see barriers to change
resource alignment and strategy execution 155–6, 171, 205–6
rolling data strategy 52, 77, 121, 217, 218–19, 261–4, 270, 275
route maps and timescales 73–4, 76–82, 155
Rumelt, Richard 84
scope of data strategy 33–6, 46–9, 50–1
Scrum (Agile methodology) 181
Sensei UKE 150
shared visions in data strategy compilation 25
Sivers, Derek 221
skills acquisition 103, 132, 220, 263
see also mentoring and staff development
smartphones 3
SMEs (subject matter experts) 191–2
Smith, Thomas 144
social barriers to change 135–6
South Africa and data retention 100
South Korea and data retention 100
sponsors of data strategies 39, 40, 46, 60, 70, 138–9, 204, 215, 254, 256
see also stakeholders
Sprint/Nextel telecommunications merger 129
stakeholders 11, 30, 49, 62, 69, 116, 194, 274
and change management 203, 205
and corporate strategy 22, 66, 188
and engagement with data strategy formulation 19, 50, 58–60, 126, 190, 254–5
and gaining their support 39, 56
see also sponsors of data strategies
Standard Chartered 34
Steiner, George 2
storytelling 114–15, 116, 122, 145–6
Strategic Planning (book) 2
Strategist, The (book) 5
and a dynamic approach to 216–17
Strategy and Structure: Chapters in the History of Industrial Enterprise (book) 2
strategy gap 33
strategy implementation 37–44, 62, 67, 71, 79, 80, 141, 188–9, 198–9, 220
and communications 127, 143–4, 177–81, 255–7
and customer engagement 176–9, 190–4, 193
and data and analytic project teams 182–7
and defining benefits 194–8, 197
and dependencies 160–2, 201, 249, 250, 251–2, 256, 274
and failures of 33–4, 153–7, 169, 221–2
and planning for change 151–2, 163, 174–6, 201, 204–6
and pre-implementation review 151–2, 161, 165–7, 253
and the RACI (RASCI) model 171–4, 172
and the revolutionary and evolutionary approaches to 246–9
and roles and responsibilities 171–3, 172
Strategy& PwC 153
strawman approach 192
structure and content of the data strategy 75, 84–8, 90–2, 102–13, 112, 114–24
and data integrity and standards 96–9, 98
and data maturity models 85, 89–90, 91–2
and data standards 97–9, 1012, 102
success of a data strategy 22–3, 58, 68–9, 200–1
planning for 79–80, 188, 194–5, 223, 260–1
Sun Tzu 1
survey of company executives on strategy execution 153–4
survey of global CEOs on executional excellence 154–6, 202
survey on strategy execution among firms in Singapore and the USA 26–7
TDWI (Transforming Data With Intelligence) 105
team efforts 25, 40–1, 116–17, 182–7
technological advances 3–4, 77, 118
Thailand and data retention 100
The Data Warehousing Institute 105
third parties and strategy implementation 62
Tobin, James 237
Top Management Strategy (book) 2
Tour de France 150
Tregoe, Benjamin 2
UBS 34
UK National Audit Office 6
UK West Coast Mainline rail 6
US and data retention 100
value assignments to data 238
variance in data strategies across organisations 52–5
vision and detail balance 116
waymarkers 78–9, 80, 84, 88, 121–2, 124, 152, 159, 260
Zimmerman, John 2