The Real Work Of Data Science - Turning Data Into Information, Better Decisions,
by Ron S. Kenett, Thomas C. Redman
(p)Wiley

DATE: 11-05-2021      ▓   SIZE: 2.72 MB            ▓   PAGES: 139
FORMAT: PDF           ▒   DISKS: 1x50.00MB         ▒   EDITION: n/a
LANGUAGE: English     ░   ISBN: 9781119570707      ░   REMOVED: DRM

https://is.gd/pcdtTd

The essential guide for data scientists and for leaders who must get more
from their data science teams. The Economist boldly claims that data are
now "the world's most valuable resource." But, as Kenett and Redman so
richly describe, unlocking that value requires far more than technical
excellence. Individual data scientists must fully extend themselves. They
must make sure they understand the real problems their companies and
agencies face, they must build trust with decision-makers, deal with
quality issues, help decision makers become more demanding customers of
data science, and they must teach their colleagues how to understand and
interpret data science--even conduct basic analyses themselves. Further up
in the management chain, managers of data science teams must help senior
leaders understand where data and data science fit, ensure their teams are
placed in the right spots organizationally, and put in place programs that
help the entire organization become data-driven. This Kenett and Redman
claim, is the "real work of data science." And it is this work that will
spells the difference between a good data scientist and a great one,
between a team that makes marginal contributions and one that drives the
business, between a company that gains some value from its data and one in
which data truly is "the most valuable resource." "These two authors are
world-class experts on analytics, data management, and data quality;
they've forgotten more about these topics than most of us will ever know.
Their book is pragmatic, understandable, and focused on what really counts.
If you want to do data science in any capacity, you need to read it."
--Thomas H. Davenport, Distinguished Professor, Babson College and Fellow,
MIT Initiative on the Digital Economy "I like the chapters in your book
although I do wonder to what extent the new problems aren't largely the old
problems in new clothing, the clothing being the computational big data
environment." --Sir David Cox, Warden of Nuffield College and Professor of
Statistics, Oxford University "Data science is critical for
competitiveness, for good government, for correct decisions. But what is
data science? Kenett and Redman give, by far, the best introduction to the
subject I have seen anywhere. They address the critical questions of
formulating the right problem, collecting the right data, doing the right
analyses, making the right decisions, and measuring the actual impact of
the decisions. This book should become required reading in statistics and
computer science departments, business schools, analytics institutes and,
most importantly, by all business managers." --A. Blanton Godfrey, Joseph D.
Moore Distinguished University Professor, Wilson College of Textiles, North
Carolina State University

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