Page 120 - The Real Work Of Data Science Turning Data Into Information, Better Decisions, And Stronger Organizations by Ron S. Kenett, Thomas C. Redman (z-lib.org)_Neat

Index 113

Erdos, Paul, 36 lag indicators, 15
erred data, 27, 28 LASSO see least absolute shrinkage and selection
EU’s GDPR, 97, 98 operator (LASSO)
Latin Hypercubes, 85
“father of the modern industrial factory system,” 84 Lavy, V., 42–43
Final Rule, 97, 98 “laws of nature,” 35
firefighting mode, maturity of organization, 77 lead indicators, 15
The Forty‐Eight Laws of Power, 46 least absolute shrinkage and selection operator
“Friday Afternoon Measurement,” 25, 27 (LASSO), 100
life‐cycle view of data analytics, 2–5
generalization, 37 Loftus, Elizabeth, 23
modes of, 36 longitudinal surveys, 41
good data scientist vs. great one, 9–12
GPS, 69 macrotrends, 83
manager, 17, 18
hands‐on information quality workshop, 64–66 real problem, understanding, 17–19
hard data, 35, 93 marketing managers, 37, 38
high‐quality data, 4, 45 mathematical statistics, 5
Hooper, Jeff, 11 "mechanistic models of modes of action," 36
human resources (HR) manager, 3 Medicare Access and CHIP Reauthorization Act
Hunter, Bill, 3 of 2015, 19
memory bias, 23
impact assessment, 39 metadata, 69, 93
industrial revolutions, and data science, 83–86 modes of generalization, 36
Industry 4.0, 83, 85 Muller–Lyer optical illusion, 52, 53
infonomics, 70 multiple imputation, 28
InfoQ see information quality (InfoQ)
information, 93, 94 neural networks, 100
information quality (InfoQ), 55, 95 nonprofit organization, 39
dimensions, 64
framework, 61, 63 organization
inspection data, 78 firefighting mode, maturity level, 77
Internet of Things (IoT), 26, 69 maturity, 6, 80
“intuition,” 35–38 nonprofit organization, 39
IoT see Internet of Things (IoT) process view, 78
IRT see item response testing (IRT) structure affects data science, 73
Israel Aircraft Industry, 22 SWOT, 13
item response testing (IRT), 37 “unfit for data,” 71
organizational ecosystem, 1, 6
Jeters, Derek, 12 context of, 2
Jobs, Steve, 13
Joint Commission International (JCI) data parallel testing approach, 41
validation guidelines, 30 “Patient Satisfaction Score,” 19
Jordans, Michael, 12 Pirelli, 74
Juran, Joseph M., 79, 84 PM see predictive model (PM)
practical statistical efficiency (PSE), 39–41
Kahneman, Daniel, 51 predictive model (PM), 23, 26
Kelley, Tom, 57 presentations, 33–34
key performance indicators (KPIs), 14–15 privacy, 97
Kriging models, 85 PSE see practical statistical efficiency (PSE)