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Index

A/B testing, 41 CAM see computer aided manufacturing (CAM)
Advent of the factory, second industrial Camoes, Jorge, 34
revolution, 84 candidate methods, 40
American Statistical Association, 98 CAOs see chief analytics officers (CAOs)
analytics, 4–5 car analogy, 70
ecosystem, 19 Carr, Nicholas, 71
maturity ladder, 80 cascade, 26
Antis, traits of, 46 caustic observation, 26
Arkwright, Richard, 84 CBM see conditioned based maintenance (CBM)
artisanal system, 83 chief analytics officers (CAOs), 25, 67–68, 76,
assessing information quality, 63–64 80, 89
Australian Bureau of Statistics, 41 balance the needs for data science, 75
automated factory, 83 car analogy, 70
automobile suspension system, 85 data scientists and, 6, 25, 47, 61, 64
job, 74
back‐office functions, 85 and organizations, 98
bad data, 26 real work of, 71, 81, 86
balanced scorecard, 14–15 role for, 83
Barishnikovs, Mikhail, 12 Clinton, Hillary, 9, 10
behavioral big data (BBD), 97 Colbert, Stephen, 50
beliefs, 50 companies
Berra, Lawrence Peter (Yogi), 21 data‐driven, 43–44
biased decision‐making, 49 human‐intensive services, 79
big data, 70 management approach and analytic
business intelligence platforms, 78 capabilities, maturity level of, 77–81
business learning need data and data science strategy, 70
annual report, 13 company‐wide KPIs, 15
balanced scorecard and key performance computer, third industrial revolution, 84–85
indicators, 14–15 computer aided manufacturing (CAM), 85
data lens, 15–16 conditioned based maintenance (CBM), 69
SWOTs and strategic analysis, 13–14 conduct analysis, 29

The Real Work of Data Science: Turning Data into Information, Better Decisions, and Stronger Organizations,
First Edition. Ron S. Kenett and Thomas C. Redman.
© 2019 Ron S. Kenett and Thomas C. Redman. Published 2019 by John Wiley & Sons Ltd.
Companion website: www.wiley.com/go/kenett-redman/datascience