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Applied marketing analytics using R / (Record no. 6269)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
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003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241023150707.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2022949856
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781529768725
Qualifying information (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781529768732
Qualifying information (hardcover)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5415.2 .Y55 2023
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yildirim, Gokhan,
Relator term author.
9 (RLIN) 4900
245 10 - TITLE STATEMENT
Title Applied marketing analytics using R /
Statement of responsibility, etc Gokhan Yildirim, Raoul Kübler.
250 ## - EDITION STATEMENT
Edition statement 1.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London, UK :
Name of publisher, distributor, etc Sage Publications,
Date of publication, distribution, etc c2023.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2307
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 369 pages :
Other physical details colored ill. ;
Dimensions 23 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Customer segmentation -- Marketing mix modelling -- Attribution modelling -- User-generated data analytics -- Customer mindset metrics -- Text mining -- Churn prediction and marketing classification models with supervised learning -- Demand forecasting -- Image analytics -- Data project management and general recommendations
520 ## - SUMMARY, ETC.
Summary, etc "Marketing has become increasingly data-driven in recent years as a result of new emerging technologies such as AI, granular data availability and ever-growing analytics tools. With this trend only set to continue, it's vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. Chapters include learning objectives, figures, tables and questions to help facilitate learning. Also included online with the datasets are software codes and solutions (R Markdowns, HTML files) to use with the book, as well as PowerPoint slides and a teaching guide for instructors teaching a marketing analytics course. This book is essential reading for advanced level marketing students and marketing practitioners who want to become cutting-edge marketers. Dr. Gokhan Yildirim is an Associate Professor of Marketing at Imperial College Business School, London. Dr. Raoul V. Kübler is an Associate Professor of Marketing at ESSEC Business School, Paris"--
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kübler, Raoul,
Relator term author.
9 (RLIN) 4901
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Call number prefix HF5415.2
Call number suffix .Y55 2023
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Non-fiction Zetech Library - TRC Zetech Library - TRC General Stacks 23/09/2024 Purchase 10439   HF5415.2 .Y55 2023 Z012165 23/10/2024 C 1 23/10/2024 Books
    Library of Congress Classification     Non-fiction Zetech Library - TRC Zetech Library - TRC General Stacks 23/09/2024 Purchase 10438   HF5415.2 .Y55 2023 Z012164 23/10/2024 C 2 23/10/2024 Books