000 -LEADER |
fixed length control field |
04593cam a2200469 i 4500 |
001 - CONTROL NUMBER |
control field |
20942237 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
CITU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230216155033.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m |o d | |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr |n||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190422s2019 nju ob 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2019019362 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781119570790 |
Qualifying information |
(ePub) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
DLC |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng. |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 10 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
HD30.2 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
658.4/038 |
Edition number |
23 |
084 ## - OTHER CLASSIFICATION NUMBER |
Classification number |
SCI028000 |
-- |
MAT029000 |
-- |
BUS061000 |
Number source |
bisacsh |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Kenett, Ron, |
Relator term |
author. |
245 14 - TITLE STATEMENT |
Title |
The real work of data science : |
Remainder of title |
turning data into information, better decisions, and stronger organizations / |
Statement of responsibility, etc. |
Ron S. Kenett, Thomas C. Redman. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Hoboken, NJ : |
Name of producer, publisher, distributor, manufacturer |
Wiley, |
Date of production, publication, distribution, manufacture, or copyright notice |
2019. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource. |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
500 ## - GENERAL NOTE |
General note |
Author Bios<br/>RON S. KENETT is Chairman of the KPA Group, Israel, Senior Research Fellow at the Samuel Neaman Institute, Technion, Haifa and, previously, Professor of Operations Management, State University of New York, Binghamton, New York and President of the European Network for Business and Industrial Statistics.<br/><br/>THOMAS C. REDMAN, "the Data Doc," is the President of Data Quality Solutions. He helps leaders and companies understand their most important issues and opportunities in the data, chart a course, and build the organizational capabilities they need to execute. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
A higher calling -- The difference between a good data scientist and a great one -- Learn the business -- Understand the real problem -- Get out there -- Sorry, but you can't trust the data -- Make it easy for people to understand your insights -- "When the data leaves off and your intuition takes over -- Take accountability for results -- What does it mean to be 'data-driven' -- Rooting out bias in decision-making -- Teach, teach, teach -- Evaluating data science outputs more formally -- Educating senior leaders -- Putting data science, and data scientists, in the right spots -- Moving up the analytics maturity ladder -- The industrial revolutions and data science -- Epilogue -- Appendix A. Skills of the data scientist -- Appendix B. Data defined -- Appendix C. Questions to help evaluate the outputs of data science -- Appendix D. Ethical considerations and today's data scientist -- Appendix E. Recent technical advances in data science. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"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'"-- |
Assigning source |
Provided by publisher. |
588 ## - SOURCE OF DESCRIPTION NOTE |
Source of description note |
Description based on print version record and CIP data provided by publisher. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Knowledge management. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
SCIENCE / Experiments & Projects. |
Source of heading or term |
bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
MATHEMATICS / Probability & Statistics / General. |
Source of heading or term |
bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
BUSINESS & ECONOMICS / Statistics. |
Source of heading or term |
bisacsh |
655 ## - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic books. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Redman, Thomas C., |
Relator term |
author. |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119570790">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119570790</a> |
Link text |
Full text available at Wiley Online Library Click here to view |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
origcop |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
EBOOK |