Index

Advanced analytics (AA)

artificial intelligence (AI), 105

data as a product, 107–108

Data as a Service (DaaS), 108

data monetization, 108

machine learning (ML), 106–107

noncoders, tools, 108–110

taxi service

business problem statement, 103

solution approach, 103–104

surge pricing method, 104–105

Uber, 102

Advanced ROI Mindset, 60

Agile minimum viable product (MVP)

creation, 45

life cycle, 46–47

Analytics, 24–25

Analytics Design Sheet (ADS), 61–62

Analytics team

advantages and disadvantages, 34–35

central data team, 32

collective data strength, 41

crowdsourcing, 33–34

data adoption, 41

data agility, 28–29

data analyst, 37

data engineer, 36–37

data leader, 36

data literacy specialist (DLS), 39

data science, 27–28

data scientist, 38–39

data Steward, 39–40

data structure, 29–31

data visualization analyst, 38

embedded data teams, 33

IT, 27

organization, 28

random group, 27

small wins, 41

software development, 31–32

team structure, 40

value proposition, 40–41

visual designer, 37–38

Artificial intelligence (AI), 105

Augmented analytics, 25

Baby Think It Over campaign, 88–89

Big and small data

benefits, 5–6

bias, 6

characteristics, 4

data facets, 5

tools and techniques, 6–7

Business analytics, 24

Business intelligence (BI), 101

California Consumer Privacy Act (CCPA), 11–12

Center of Excellence (CoE), 33

Central data team, 32

Citizen Data Scientist (CDS), 38–39

Climate Corp, 2

Cloud migration, 10

Continuous learning, data literacy (DL), 77

Conventional farming practices, 2

Covid Tracking Project, 74

CRoss-Industry Standard Process for Data Mining (CRISP-DM), 50–51

Crowdsourcing, 33–34

Curious ROI Mindset, 60

Data

traits, 2–3

types, 3

variety, 3

Data agility, 28–29

Data analyst, 37

Data analytics, 24, 115

business functions, 19

data cleaning, 20

data collection process, 17, 20

descriptive analytics, 22

diagnostic analytics, 22

Excel, 19

implementation cost, 18

insights, 17–18

missing and inaccurate data, 18

predictive analytics, 23

prescriptive analytics, 23–24

problem statement, 19–20

qualitative analytics, 21

quality data, 16

quantitative analysis, 22

Technology Acceptance Model (TAM), 17

Data as a product, 107–108

Data as a Service (DaaS), 108

Data collection process, 17, 20

Data correlation, 6

Data ecosystem

big and small data, 4–7

big data and analytics, 2

datafication, 8–9

data traits, 2–3

industrial revolutions, 1

modern data stack, 10

peer-to-peer engagement channels, 7

privacy, 10–13

Data engineer, 36–37

Data fabric, 112–113

Datafication, 8–9

Data governance

automation, 81–82

and data strategy alingment, 81–82

as enabler, 80

forward-thinking, 80

narrow-focused, 81

partial, 81

restrictive, 81

well-articulated data literacy, 82 Data hub, 112

Data lake, 112

Data leader, 36

Data literacy

champions, 84

communication plan, 83

enterprise DL spirit, 84

feedback loop, 83

incentives, 83

inclusive data organization and society, 84–85

journey, 82

success measurement, 83–84

Data literacy (DL)

cultural challenges, 76–77

culture change, 75

elements, 79

scenarios, 77–78

data anxiety elimination, 75

data governance, 79–84

definition, 69–70

enterprise-level, 71

Google word search trend, 70

leadership buy-in, 73

pilot project launch, 73

rubric, 73–74

show-and-tell approach, 73

supply and demand side, 71

technical challenges, 75–76

elements, 79

scenarios, 77–78

weather data, 72

winning tactics, 73–75

Data literacy specialist (DLS), 39

Data mesh, 112–113

Data monetization, 108

DataOps, 53–55

Data privacy

data solutioning, 12

data tracking, 11

definition, 11

privacy laws, 11–12

protected health information, 12–13

user actions, 11

violations, 11

Data product management

creativity, 44

CRISP-DM, 50–51

data, 44

DataOps, 53–55

data revolution, 43

definition of done, 53 Microsoft TDSP, 52

minimum viable product (MVP), 45–47

product road map, 44

Scrum, 47–50

SEMMA process, 52

technology, 43

zettabytes, 43

Data scientist, 38–39

Data Steward, 39–40

Data visualization, 90. See also Storytelling

Data visualization analyst, 38

Data warehouse, 112

DeepFake, 107

Definition of done (DoD), 53

Dematerialization, 8

Descriptive analytics, 22

Design spike, 49–50

Design thinking (DT), 96–99

Developing ROI Mindset, 60

DevOps, 54–55

Diagnostic analytics, 22

Edge analytics, 24

Embedded analytics, 24

Embedded data teams, 33

Exploratory Data Analysis (EDA), 21

Forward-thinking data governance, 80

General Data Protection Regulation (GDPR), 11–12

Health Insurance Portability and Accountability Act (HIPAA), 11–12

Industrial revolutions, 1

Inner sourcing, 33

Intangible return on investment (ROI), 59

inventory management suite, 64

new patient portal, 64

Intelligent automation, 19

Inventory management system, 62–63

Kanban, 50

Key performance indicators (KPIs), 65–66

Machine learning (ML), 106–107

Marketing analytics, 24

Medicare data, 12

Microsoft TDSP, 52

Missing Maps, 34

Modern data stack, 10

MongoDB, 7

Narrow-focused data governance, 81

Natural Language Processing (NLP), 106

Netflix, 8–9

Open Communication Mindset, data literacy (DL), 76–77

Operational analytics, 24

Partial data governance, 81

Paycheck Protection Program, 54

Persuasive technology., 89

Predictive analytics, 23

Prescriptive analytics, 23–24

Privacy laws, 11–12

Protected Health Information (PHI), 12

Qualitative analytics, 21

Quantitative analysis, 22

Restrictive data governance, 81

Return on investment (ROI)

data initiatives, 66–67

intangible, 59

key performance indicators (KPIs), 65–66

Netflix, 58

organizational mindsets, 59–60

tangible, 58, 60–63

Robotic process automation (RPA), 19, 113

Scrum

being structured/rigid, 48–49

vs. Kanban, 47

meetings saga overhead, 49

role challenge, 47–48

time box challenge, 48

Scrumban, 50

SEMMA process, 52

Software engineers, 31–32

Sports analytics, 15

Storytelling, 115

dashboard factory, 99

dashboards, 87

design thinking (DT), 96–99

persuasion

Baby Think It Over campaign, 88–89

definition, 89

failure, 92

power and history, 89–90

principles, 91–92

Tactical Tech, 88

power, 92–96

Surge pricing method, 104–105

Tactical Tech, 88

Tangible return on investment (ROI), 58

inventory management system, 62–63

new patient portal, 61–62

Technology Acceptance Model (TAM), 17

Undeveloped ROI Mindset, 59–60

Visual designer, 37–38

Visual language, 94

Weather data, 72

Web analytics, 24