Accountability

, 90

Account executives

, 76

Algorithms

, 22, 55, 61, 87, 93, 104

Al-Qaeda

, 23

Amazon

, 106

Anchoring

, 41, 43

Artificial intelligence (AI)

, 86, 107

algorithm

, 60

applications

, 61

black boxes

, 92–94

operations

, 88

Availability heuristic

, 41

Behavioral prism

, 91

Big Data and Analytics

, 85

Biometrics

, 109

Black swans

, 8

Blame game

, 78–80

Blockchain

, 85

“Bricks and mortar,” 11

Building trust

AI black boxes

, 92–94

team

, 88–92

Cabinet Secretary’s Advisory Group (CSAG)

, 98

Category management concept

, 15, 16

Centre for Secure Information Technologies (CSIT)

, 68

Challengers

, 10

Charismatic leadership

, 31–33

Cignifi Inc

, 9, 10

Cloud-based solution

, 10

Coca-Cola

, 10, 11, 45

Code of Conduct

, 48–52, 86

Cognitive biases

, 40

Collaboration

, 25–29

Commonwealth Bank of Australia

, 24

Confirmation bias

, 40

Conflict of interest

, 38

Customer-centric view

, 17

Customer/consumer-based sectors

, 13

Data

, 70–74

Data-driven transformation

, 13–22

Data monetization platform

, 9

Data quality

, 21

Data science

, 59, 77, 89

Decision-making

, 39–44

Defence Science Advisory Council (DSAC)

, 27

Dependability

, 90

DIANA

, 54

Digital transformation

, 13–22

DNA databases

, 109

Electronic point of sale data (EPOS)

, 16

Emirates

, 18, 19

Expedia

, 18

Facebook

, 91, 107

Gartner Hype curve

, 83–86

Generous generalists

, 39

Genetic fingerprints

, 109

Google

, 36, 91, 107

Heuristics

, 40, 41

Horizon scanning

, 96

Impedance problem

, 25, 26

Incremental improvement

, 7–13

Innovate UK

, 68

Innovations

, 9

Integrated Knowledge Centers (IKCs)

, 68

Intellectual property

, 59

Internet of Things

, 66

Internet penetration

, 11

Leadership

, 21

behavior

, 39–44

charismatic leadership

, 31–33

code of conduct

, 48–52

creative people

, 33–37

decision-making

, 39–44

frameworks

, 44–48

presenting and inspiring others

, 53–56

rationality

, 39–44

strategies

, 52–53

strategy team

, 37–39

London Innovation Lab

, 24

Loyalty

, 76–78

Management training

, 74–76

Managing out

, 80–82

Marketing hype

, 86–88

Mathematics

, 59, 77, 94, 95

Missed moments

, 95–99

Models

, 17, 70–74

Mobile banking

, 9

Mobile network operator (MNO)

, 9, 10

Networks

, 23, 28

Not a Number (NaN)

, 58

“Nudge,” 42

Ocado

, 11

Oncology Expert Advisor

, 86

Online missions

, 18

Open innovation networking

, 22–29

Open network innovation

, 21

Oxford-Munich Code of Conduct

, 51, 108

Paradigm change

, 7–13

“Pathways to impact,” 77

Pepsi

, 10, 11, 18

Product categories

, 16

Rapid prototyping

, 57–59, 80

Rationality

, 39–44

R&D programmes

, 7, 23, 25, 33, 51, 67

RegTech

, 24

Representativeness heuristic

, 41

“Requirements-led” thinking

, 27

Responsibilities

, 99–102

Rolls Royce approach

, 72

Scarcity heuristic

, 40

Shopper “missions,” 17

Skyscanner

, 18

Spectrum of behavior

, 91

Status quo bias

, 41

Stock keeping unit (SKU)

, 16

Succession planning

, 99–102

Sunny Delight

, 10, 11

Supermarket chains

, 15

Supply-centric view

, 17

Taliban

, 23

Tesco

, 11, 12, 65

Tex-Mex meal component

, 73

Trade secrets

, 61, 62

Transformational leadership

, 32

Transformational mission

, 20

Transformations

, 5–7

Transparency

, 90

Trust

, 91

Twitter

, 22, 91

Unknown unknowns

, 8, 110

Vendors

, 15

Walmart

, 65

Webvan

, 12

“Wide and wise” portfolio approach

, 27

“Willingly,” 6

World Bank

, 90