MARC details
000 -LEADER |
fixed length control field |
02590nam a22002297a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20241218153031.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
241218b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781529768725 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
658.8342 |
Item number |
YIL |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Yildirim, Gokhan |
245 ## - TITLE STATEMENT |
Title |
Applied marketing analytics using R |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
Sage Publication Pvt Ltd. |
Place of publication, distribution, etc. |
London |
Date of publication, distribution, etc. |
2023 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiv, 369 p. |
365 ## - TRADE PRICE |
Price type code |
GBP |
Price amount |
44.99 |
500 ## - GENERAL NOTE |
General note |
Table of content:<br/>Chapter 1: Introduction Chapter 2: Customer Segmentation Chapter 3: Marketing Mix Modelling Chapter 4: Attribution Modelling Chapter 5: User Generated Data Analytics Chapter 6: Customer Mindset Metrics Chapter 7: Text Mining Chapter 8: Churn Prediction and Marketing Classification Models With Supervised Learning Chapter 9: Demand Forecasting Chapter 10: Image Analytics Chapter 11: Data Project Management and General Recommendations<br/>[https://us.sagepub.com/en-us/nam/applied-marketing-analytics-using-r/book277514#contents] |
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.<br/><br/>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.<br/><br/>Supporting online resources are available to instructors to support teaching, including datasets and software codes and solutions (R Markdowns, HTML files) as well as PowerPoint slides, a teaching guide and a testbank.<br/><br/>This book is essential reading for advanced level marketing students and marketing practitioners who want to become cutting-edge marketers<br/>(https://us.sagepub.com/en-us/nam/applied-marketing-analytics-using-r/book277514) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Industrial marketing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Marketing statistical methods |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Marketing data processing |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Kubler, Raoul |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Book |
Source of classification or shelving scheme |
Dewey Decimal Classification |