Index
As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.
A
Acquire phase 228
creating 129
adapting to change, data literacy soft skills 268, 269
exponential thinking 270
intellectual humility 269
resilience 270
unlearning 269
advanced visualizations 171
bullet chart 172
contextual analysis, addressing 179, 180
scatter chart 174
aggregation 28
average 29
median 29
algorithm 214
AmbaFlex 177
data and analytics 178
analytic interpretations
questioning 192
analytics
potential risks 206
analytics maturity 25
analytic storytelling approach 241, 242
data communication process 242-244
key elements of communication 243
narrative, need for 243
Analyze phase 228
Announce phase 231
Apply phase 228
cognitive bias 229
flawed mindsets 228
incorrect assumptions 229
artificial intelligence (AI) 25, 42-44, 61
Ask phase 225
assumptions
challenging 202
B
balanced scorecard
customer perspective 135
financial perspective 135
innovation perspective 135
internal process perspective 135
bar chart 159
applying 159
basic organizational data literacy assessment 281, 283
basic visualizations 159
bar chart 159
geospatial chart 167
heatmap 162
key performance indicator (KPI) 169, 170
tables 170
bias 197
PAUSE model 198
blended learning 85
bullet chart 172
benefits 172
scatter chart 172
business intelligence (BI) 24, 66, 94, 306
C
California Consumer Privacy Act (CCPA) 210
Call to Balloon 120
Center of Excellence (CoE) 66
change management 18
chief data officer (CDO) 102, 103
cognitive diversity 200
color wheel
reference link 150
complex situations, data literacy soft skills
bias, mitigating 266
challenging assumptions 266
creative curiosity 267
systems thinking 267
configuration ID (CI) 107
confirmation bias 197
content organization 86
content organization, types
adaptive 88
catalog 87
personalized 87
targeted 87
content searching 88
exploratory search 89
known-item search 88
re-finding 89
use case 89
contextual analysis
continuous data 32
control measures
COVID-19
news article and removing emotion 188, 189
COVID-19-related questions 184, 185
critical thinking 271
customer perspective 135
Cynefin framework 226
chaotic domain 226
clear domain 226
complex domain 226
complicated domain 226
confusing domain 226
D
Dashboard, Analysis, Reporting (DAR) principle 139, 151-153
data 3
assimilation 190
combining 100
concerns 206
enriching 100
growth 24
identifying 99
lineage 191
potential risks 206
retrieving 100
standard, setting 101
storage, discovering 100
trustworthiness 190
data and analytics, business use case
risk mitigation measures 322
writing 320
data and analytics, examples
Amazon 8
financial transactions 8
Garmin watch 8
information, searching 7
Netflix 8
personal health data 7
Spotify 8
data and analytics, fundamental pillars 53
organizational data literacy 54-56
data and analytics project 5
architecture check 318
business case 317
characteristics 306
data office/data management 318
failure 306
increments or sprints 318, 319
information, searching 6
managing 316
phases 26
project plan 317
roles 316
data and analytics project approach 309-311
data-driven 309
horizontal-driven 309
market-driven 309
vertical-driven 309
data and analytics project blockers 307
lack of knowledge 308
technical architecture 308
time and money 308
data and analytics project risks
content risks 315
cultural risks 314
managing 313
project risks 313
technical risks 314
data and information 189
data communication process 244
audience, defining 245
story, crafting 246
story, planning 245
SUCCESs model 251
data-driven process
versus data-informed decision-making process 241
data ethics 207
checklist 216
tax office profiles example 218
Data-Informed Decision Making (DIDM) 64
data-informed decision-making process 223, 224
Acquire phase 228
Announce phase 231
Apply phase 228
Assess phase 231
phases 224
versus data-driven process 241
data-informed decision-making process, checklist
Acquire 240
Act 240
Analyze 240
Announce 241
Apply 240
Ask 239
Assess 241
using 239
data-informed decision-making process, example 232
Acquire phase 233
Act phase 239
Analyze phase 238
Announce phase 239
Apply phase 238
Assess phase 239
health systems support 238
personal risk 233
rate of transmission 237
data integration (DI) 100
data journey
artificial intelligence 43
data quality, discovery 36
descriptive analytics 28
predictive analytics 38
data literacy 10-13, 51, 52, 62, 63
COVID-19 pandemic 11
data literacy competency framework 253, 254
business requisites, interpreting 254, 255
data, accessing 256
data preparation 256
data, turning into insights 257
data understanding 260
decisions, communicating with data 259
insights, transforming into decisions 259
insights, validating 258
outcome of decision, evaluating 260
performance measurements 255
problem identification 254, 255
relevant data, identifying 256
data literacy educational program
content searching 88
continuous experience 83
employee roles, identifying 80-82
first experience 83
keep current experience 84
knowledge refresh experience 84
knowledge types 85
learning elements 86
learning levels 82
learning methodologies 85
need for 83
real-world experience 84
data literacy, mindsets 273
growth mindset 274
open mindset 274
promotion mindset 275
data literacy, soft skills 265, 266
complex situations 266
foundational soft skills 270
teamwork and communication 267
data literacy, technical skills 262
artificial intelligence 263
data analytics 262
data communication 264
data extraction 262
data preparation 262
data science 263
data usage 264
data visualization 262
statistical and analytical results, interpreting 264
data literacy vision
communicating 73
desired outcomes, focusing on 73
process involvement 73
systemic perspective, adopting 73
data-literate culture
developing 74
organizations skills and knowledge, managing 78, 79
control 110
data strategy 97
delivering 96
future 96
IT section 112
need for 19
processes 103
data office 111
concerns, identifying 210, 211
data quality 95
improving 110
improving, in small-scaled healthcare environment 96
data quality process 103
data correction 108
data discovery 104
data monitoring 107
data quality reporting 108, 109
data rules 106
data relevance 192
noise, removing 192
data security 207
checklists 209
concerns, identifying 208, 209
data leak, at airplane carrier 210
facts 208
data specialist 101
data strategy
data empowerment 111
data governance 111
improving 98
transformative 111
data vision
creating 99
data visualization 140-142, 193-195
best practices 193
deceiving, with bad visualization 143-146
decision-making selection tools
automated insights 60
catalog 60
cloud-enabled analytics 60
data preparation 60
data source connectivity 60
data storytelling 61
data visualization 60
governance 60
natural language generation 61
natural language query 61
reporting 61
security 60
decision-making stage
questioning 188
components 34
discrete data 32
distribution plot 30
diverse heuristics 201
diverse interpretations 200
diverse perspectives 200
obtaining 200
diverse predictive models 201
E
emotional intelligence 271
components 272
ethics 273
employee roles
business analyst 81
business leader 81
data analyst 81
data engineer 81
data scientist 82
knowledge worker 81
European Medicines Agency (EMA) 179
exploratory analysis 33
exploratory search 89
Extract, transform and load (ETL) 314
F
financial analysis
annual recurring costs 324
annual recurring costs, argumentation 325
conclusion and advice 328
finding 323
one-time project costs, argumentation 324
quantitative benefits 325, 326
return on your investment (ROI) 327
financial perspective 135
first-conclusion bias 198
Food and Drug Administration (FDA) 179
formal learning 85
foundational soft skills, data literacy 270
critical thinking 271
emotional intelligence 271, 272
ethics 273
fundamental pillars
G
General Data Protection Regulations (GDPR) 210
geospatial chart 167
applying 169
Goodhart’s law
applying, to KPIs 126
H
heatmap 162
applying 166
I
indicators
individual data literacy
informal learning 85
information management 18
innovation perspective 135, 136
insights 192
human element, applying to 197
questioning 193
words usage 196
intermezzo 45
internal process perspective 135, 136
interval data 32
K
Key Performance Indicator (KPI) 16, 72, 118, 169, 170, 255
applying 170
Goodhart’s law, applying 126
unintended consequences, reviewing 125, 126
knowledge management 18
knowledge types 85
core knowledge and skills 86
industry and role knowledge 86
organizational knowledge 86
known-item search 88
KPIs for unintended consequences, review
human discretion, applying 127, 128
system thinking, applying 127
KPI visualizations
L
lateral thinking
using 201
learning activities 86
learning assessments 86
learning elements 86
learning levels 82
learning methodologies 85
applying 161
logic model 131
activities and processes 132
for coffee retailer 134
outputs 132
resources and inputs 132
M
machine learning (ML) 58, 61, 82
mean 28
metric 119
N
narrative, analytic storytelling approach
engaging 244
memorable 243
persuasive 244
explanatory journey 248
exploratory journey 249
natural language processing (NLP) 61
neural network (NN) 105
noisy data 192
nominal data 31
non-functional requirements (NFRs) 66
O
ordinal data 32
organizational data flow 16-18
Oakland A’s success story 20, 21
traffic light example 17
organizational data literacy
assessing 281
basic organizational data literacy assessment 281, 283
implementing 70
robust organizational data literacy maturity assessment 283, 284
P
PAUSE model 198
Perceptual Edge
reference link 148
performance indicators 118
for organization 120
for personal health 119
for safety region 121
applying 162
privacy management 18
project initiation document (PID) 317
Q
qualitative data 31
identifying 31
quality 31
quantitative benefits 325
analysis 326
argumentation 326
quantitative data 31
identifying 31
quantity 31
questioning framework
questions
asking 183
assumptions 187
key performance indicators (KPIs), identifying 186
problem, defining 186
R
applying 167
ratio data 32
re-finding 89
return on your investment (ROI) 327
robust organizational data literacy maturity assessment 283, 284
data and analytics 292
data and analytics, assessment score 294
knowledge and learning programs 296
knowledge and learning programs, assessment score 299
maturity score, analyzing 300-303
organizational culture and strategy 285
organizational culture and strategy, assessment score 287
organizational processes 288
organizational processes, assessment score 291
tools and technologies 295
tools and technologies, assessment score 296
roles, organization
Chief Data Officer (CDO) 103
data owner 102
data steward 102
S
scope creep 16
service-level agreement (SLA) 35
Software Asset Management 154
STARR method 319
story, crafting
narrative 248
visualization 246
strategical management 18
SUCCESs model 251
principles 251
survivor bias 197
systems thinking 186
using 201
T
tables 170
teamwork and communication, data literacy soft skills 267
active listening 268
data communication 268
inclusion 268
transparency and accountability 268
technical options, organizations
concepts and definitions, standardizing 112
data dictionary 112
data modeling instruments 113
threat reactivity 77
time to market (TTM) 312
type 3 error 186
U
unconscious bias 197
V
variable 28
visual properties
checking 193
volatile, uncertain, complex, and ambiguous (VUCA) 270
vpnMentor
URL 213
W
examples 177
words and visuals
questioning 193
write-back technique 108
Y
Year to Date (YTD) 123