5W1H methodology 28, 29, 49, 60, 154

Accenture data maturity model 89, 92, 93

accountability and responsibility 69

adding value 21, 111, 112

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 224–5

Balanced Scorecard, The (book) 154

barriers to change 35, 131–7

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

Buluswar, Murli 241, 243

business value of the data-driven organisation 112

Canada and data retention 100

Carucci, Ron 26

case studies 265–8

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

and the stakeholders 203, 205

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

cloud computing 7, 36, 104

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

for change 213–14

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

cookies 3–4

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

DAMA wheel 89, 93, 94

Darwin, Charles 200

data acquisition 102–3

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 integrity 95, 96–7

data management 89–90

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

data misuse 6, 7

data protection 7, 36, 119

see also data compliance and regulation

data quality programmes 238–9

data retention 99–101

data science 108–11

data sharing 6–7

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 strategy cycles 216–17

data systems 103

data volumes and technological advances 3–4, 272

data warehouses 104–5

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

Delphi technique 191–2

Deming, W. Edwards 159, 163–4

dependencies 160–2, 201, 249, 250, 251–2, 256, 274

development of the data strategy 58–72

Devlin, Dean 161

digital capabilities 117–18

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

Drucker, Peter 1, 2, 130

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

executive board 11–12

executive sponsors 60–1

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

implementation teams 24, 26

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

ISO 55000 97–8

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

Kaplan, Robert 154, 224

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

leadership models 23–5, 24

learning from experience 219, 262

Lewin, Kurt 137, 146

Lincoln, Abraham 149, 174

Magenta Book 223

Management: Tasks, Responsibilities, Practices (book) 2

management reporting 39, 104

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

milestones 78, 206

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

Norton, David 154, 224

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

Porter, Michael 2, 33, 176

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

privacy and data 7, 36

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

ratio of Tobin’s q 237–8, 239

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

risk management 38, 259–60

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

staff losses 207, 259

staff motivation 103, 208–10

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

strategy, concept of 1–3, 49

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 requirements for 189–90

and the revolutionary and evolutionary approaches to 246–9

and roles and responsibilities 171–3, 172

and waymarkers 159–60, 188

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

and execution of 113–14

sub-strategies 50–2

success of a data strategy 22–3, 58, 68–9, 200–1

planning for 79–80, 188, 194–5, 223, 260–1

Sull, Donald 155, 202

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