Data-driven decision-making for business / Claus Grand Bang. (Record no. 22367)

MARC details
000 -LEADER
fixed length control field 02194nam a22002057a 4500
005 - DATE & TIME
control field 20250506145214.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250506b |||||||| |||| 00| 0 eng d
020 ## - ISBN
International Standard Book Number 9781032601533
040 ## - CATALOGING SOURCE
Original cataloging agency Indian Institute of Management Raipur
082 ## - DDC NUMBER
Classification number 658.4
Book Number BAN-25
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bang, Claus Grand
245 ## - TITLE STATEMENT
Title Data-driven decision-making for business / Claus Grand Bang.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London ; New York :
Name of publisher, distributor, etc Routledge, Taylor & Francis Group,
Date of publication, distribution, etc 2025.
300 ## - PHYSICAL DESCRIPTION
Pages xiv, 308 pages ; 25 cm
500 ## - GENERAL NOTE
General note Summary<br/>"Research shows that companies that employ data-driven decision-making are more productive, have a higher market value and deliver higher returns for their shareholders. In this book, the reader will discover the history, theory and practice of data-driven decision-making, learning how organisations and individual managers alike can utilise its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data. Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organisations. Covering topics such as strategy, culture, analysis and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear learning outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums. Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, turning the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter"-- Provided by publisher.
650 ## - Subject
Subject Decision making--Statistical methods.
650 ## - Subject
Subject Decision making--Data processing.
650 ## - Subject
Subject Big data.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Department Location (home branch) Sublocation or collection (holding branch) Shelving location Date acquired Vendor Name Discount Koha issues (times borrowed) Koha full call number Accession No. Koha date last seen Koha item type Price effective from
    Dewey Decimal Classification   Not for loan Reference Indian Institute of Management Raipur Indian Institute of Management Raipur Reference 26/04/2025 Overseas Press 35%   658.4 BAN-25 13339 06/05/2025 Books 06/05/2025