Decision-Driven Analytics : (Record no. 49546)

MARC details
000 -LEADER
fixed length control field 08669nam a2200865 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-B1597
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260416115151.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260303s2024 pau fo d z eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781613631737
041 0# - LANGUAGE CODE
Language
044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE
MARC country code pau
ISO country code US-PA
072 #7 - SUBJECT CATEGORY CODE
Subject category code POL
Subject category code subdivision 024000
Source bisacsh
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Subject category code BUS
Subject category code subdivision 041000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS
Subject category code subdivision 083000
Source bisacsh
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Langhe, Bart De,
245 00 - TITLE STATEMENT
Title Decision-Driven Analytics :
Remainder of title Leveraging Human Intelligence to Unlock the Power of Data /
Statement of responsibility, etc Bart De Langhe, Stefano Puntoni.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
505 00 - FORMATTED CONTENTS NOTE
Title Frontmatter --
-- Contents --
-- Introduction: Divers and Runners --
-- Chapter 1: Driven by Data, Decisions, or Preferences? --
-- Chapter 2: Decisions --
-- Chapter 3: Questions --
-- Chapter 4: Data --
-- Chapter 5: Answers --
-- Chapter 6: Data for a Purpose --
-- Conclusion: A New Division of Labor --
-- Notes --
-- Index --
-- About the Authors --
-- About Wharton School Press --
-- About the Wharton School --
-- About Penn Press
520 ## - SUMMARY, ETC.
Summary, etc Companies have more data at their fingertips than ever before. Yet, studies show that many executives and organizations fail to extract real value from it.Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background.Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact.In Decision-Driven Analytics, you will learn how to:+ Avoid common pitfalls in data-driven decision-making;+ Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other;+ Enhance the impact of data analytics on business outcomes;+ Think without data to make better decisions;+ Prepare for artificial intelligence's impact on data analytics; and+ Evaluate the costs and benefits of decision-driven analytics.A must-read for anyone who wants to harness the power of data for competitive advantage, Decision-Driven Analytics will equip you with the skills and tools you need to more effectively use data for business outcomes and to make better decisions in today's complex and data-rich world.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element POLITICAL SCIENCE / Public Policy / Economic Policy.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BUSINESS & ECONOMICS / Management.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BUSINESS & ECONOMICS / Information Management.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Puntoni, Stefano,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.degruyterbrill.com/isbn/9781613631737">https://www.degruyterbrill.com/isbn/9781613631737</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.degruyterbrill.com/document/cover/isbn/9781613631737/original">https://www.degruyterbrill.com/document/cover/isbn/9781613631737/original</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Electronic Books
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Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
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-- Philadelphia
-- University of Pennsylvania Press,
-- [2024]
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-- ©2024
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-- online resource
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-- text file
-- PDF
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506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access restricted access
Uniform Resource Identifier <a href="http://purl.org/coar/access_right/c_16ec">http://purl.org/coar/access_right/c_16ec</a>
Standardized terminology for access restriction online access with authorization
Source of term star
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: Internet via World Wide Web.
545 ## - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note Bart De Langhe is a Professor of Marketing at KU Leuven and Vlerick Business School. He also founded Behavioral Economics and Data Analytics for Business (BEDAB), a consultancy that assists companies in using behavioral science and data analysis to make better decisions and improve performance. De Langhe's research examines how managers and consumers make judgments and decisions, with a specific emphasis on their intuitions about data, metrics, and statistics. He has published articles in leading academic journals in business and psychology, such as Journal of Marketing Research, Management Science, Journal of Consumer Research, and Journal of Experimental Psychology: General. His work has also been featured in popular outlets, such as Harvard Business Review, MIT Sloan Management Review, The Wall Street Journal, and The New York Times. In 2017, he was recognized by the Marketing Science Institute as one of the most promising young scholars in marketing.De Langhe has taught a wide array of courses related to marketing management, consumer behavior, behavioral economics, data analytics, and managerial decision-making at various academic levels, including undergraduate, MSc, MBA, EMBA, PhD, and open/custom executive programs. He has taught at prestigious business schools in Europe, North America, and Asia. As a testament to his excellence in teaching, De Langhe was recognized by Poets and Quants in 2021 as a "best 40-under-40" business school professor. He received his PhD in Marketing from Erasmus University Rotterdam, and his bachelor and master degrees in Psychology from KU Leuven.Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at the Wharton School, University of Pennsylvania. He is also the co-director of AI at Wharton, an initiative to foster, coordinate, and promote research and teaching on artificial intelligence across the Wharton School.Puntoni brings a behavioral science perspective to artificial intelligence and algorithms, to investigate how automation is changing consumption and society. His research has appeared in many leading journals, including Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Journal of Consumer Psychology, Nature Human Behavior, and Management Science. He also writes regularly for managerial outlets such as Harvard Business Review and MIT Sloan Management Review. He is a former MSI Young Scholar and MSI Scholar, and the winner of several grants and awards. Puntoni is currently an Associate Editor at the Journal of Consumer Research and at the Journal of Marketing.At Wharton, Puntoni teaches undergraduates, MBAs, and executives in the areas of new technologies, marketing strategy, brand management, and decision making. He holds a PhD in marketing from London Business School and a degree in statistics from the University of Padova, in his native Italy. Prior to joining Penn he was a Professor of Marketing and Department Head at the Rotterdam School of Management, Erasmus University, in the Netherlands.
546 ## - LANGUAGE NOTE
Language note In English.
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-- Description based on online resource; title from PDF title page (publisher's Web site, viewed March 03 2026)
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Source of heading or term bisacsh
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Uncontrolled term AI artificial intelligence
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Uncontrolled term analytics
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Uncontrolled term behavioral science
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Uncontrolled term business outcomes
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Uncontrolled term customers
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Uncontrolled term Data driven decisions
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Uncontrolled term decision driven analytics
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Uncontrolled term How businesses use data
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Uncontrolled term How to use data for business decisions
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Uncontrolled term skills tools
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Uncontrolled term Data driven decisions
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Uncontrolled term decision driven analytics
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Uncontrolled term How businesses use data
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Uncontrolled term How to use data for business decisions
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Uncontrolled term skills tools
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Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
773 08 - HOST ITEM ENTRY
Display text Title is part of eBook package:
Place, publisher, and date of publication De Gruyter
Title University of Pennsylvania Press Complete eBook-Package 2024
International Standard Book Number 9783110791365
Other item identifier ZDB-23-27
773 08 - HOST ITEM ENTRY
Display text Title is part of eBook package:
Place, publisher, and date of publication De Gruyter
Title EBOOK PACKAGE Business and Economics 2024 ENG
International Standard Book Number 9783111513270
Other item identifier 978-3-11-151327-0 EBOOK PACKAGE Business and Economics 2024 ENG
773 08 - HOST ITEM ENTRY
Display text Title is part of eBook package:
Place, publisher, and date of publication De Gruyter
Title EBOOK PACKAGE Business and Economics 2024
International Standard Book Number 9783111513232
Other item identifier 978-3-11-151323-2 EBOOK PACKAGE Business and Economics 2024
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Materials specified Cover
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-- ZDB-23-27
-- 2024
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-- 978-3-11-151327-0 EBOOK PACKAGE Business and Economics 2024 ENG
-- 2024
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-- 978-3-11-151323-2 EBOOK PACKAGE Business and Economics 2024
-- 2024
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-- GBV-deGruyter-alles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Location Date of Cataloging Total Checkouts Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
    Dewey Decimal Classification     CUTN Central Library CUTN Central Library 16/04/2026   EB04700 16/04/2026 https://www.degruyter.com/isbn/9781613631737 16/04/2026 Electronic Books