Mastering marketing data science: a comprehensive guide for today's marketers
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, NJ
Wiley
2024
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Schriftenreihe: | Wiley and SAS business series
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Schlagworte: | |
Online-Zugang: | DE-1050 DE-945 |
Beschreibung: | 1 Online-Ressource (xv, 415 Seiten) |
ISBN: | 9781394258734 |
Internformat
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Brown, Iain |
author_facet | Brown, Iain |
author_role | aut |
author_sort | Brown, Iain |
author_variant | i b ib |
building | Verbundindex |
bvnumber | BV049729294 |
classification_rvk | QP 600 |
collection | ZDB-30-PQE ZDB-4-NLEBK |
contents | Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- About the Author -- Chapter 1 Introduction to Marketing Data Science -- 1.1 What Is Marketing Data Science? -- 1.2 The Role of Data Science in Marketing -- 1.3 Marketing Analytics Versus Data Science -- 1.4 Key Concepts and Terminology -- 1.4.1 Data Science -- 1.4.2 Data Visualization -- 1.4.3 Customer Segmentation -- 1.4.4 Predictive Analytics -- 1.4.5 Machine Learning -- 1.4.6 Natural Language Processing -- 1.4.7 Marketing Mix Modeling -- 1.4.8 Big Data -- 1.5 Structure of This Book 1.6 Practical Example 1: Applying Data Science to Improve Cross-Selling in a Retail Bank Marketing Department -- 1.6.1 Data Collection -- 1.6.2 Data Preparation -- 1.6.3 Customer Segmentation -- 1.6.4 Product Recommendation Modeling -- 1.6.5 Campaign Design -- 1.6.6 A/B Testing and Evaluation -- 1.6.7 Monitoring and Refinement -- 1.7 Practical Example 2: The Impact of Data Science on a Marketing Campaign -- 1.8 Conclusion -- 1.9 References -- Chapter 2 Data Collection and Preparation -- 2.1 Introduction -- 2.2 Data Sources in Marketing: Evolution and the Emergence of Big Data 2.2.1 Traditional Data Sources -- 2.2.2 The Emergence of Modern Data Sources -- 2.2.3 Big Data and Its Impact on Marketing -- 2.3 Data Collection Methods -- 2.3.1 Surveys and Questionnaires -- 2.3.2 Web Scraping -- 2.3.3 Application Programming Interfaces -- 2.3.4 Data Purchase -- 2.3.5 Observational Data -- 2.4 Data Preparation -- 2.4.1 Data Cleaning -- 2.4.2 Data Integration -- 2.4.3 Data Transformation -- 2.4.4 Data Reduction -- 2.5 Practical Example: Collecting and Preparing Data for a Customer Churn Analysis -- 2.6 Conclusion -- 2.7 References -- Chapter 3 Descriptive Analytics in Marketing 3.1 Introduction -- 3.2 Overview of Descriptive Analytics -- 3.2.1 The Role of Descriptive Analytics in Marketing -- 3.2.2 Key Techniques in Descriptive Analytics -- 3.2.3 The Importance of Data Visualization -- 3.3 Descriptive Statistics for Marketing Data -- 3.3.1 Measures of Central Tendency -- 3.3.2 Measures of Dispersion -- 3.3.3 Measures of Association -- 3.3.4 Symmetry and Skewness -- 3.4 Data Visualization Techniques -- 3.4.1 Bar Charts and Histograms -- 3.4.2 Line Charts and Time Series Plots -- 3.4.3 Scatterplots and Bubble Charts -- 3.4.4 Heat Maps and Geographic Maps 3.4.5 Visualization Best Practices -- 3.5 Exploratory Data Analysis in Marketing -- 3.5.1 Data Distribution Analysis -- 3.5.2 Correlation and Covariance -- 3.5.3 Visual Exploratory Techniques -- 3.6 Analyzing Marketing Campaign Performance -- 3.6.1 Key Performance Indicators -- 3.6.2 Techniques for Analyzing Marketing Campaign Performance -- 3.6.3 The Role of Descriptive Analytics in Marketing Campaign Performance Analysis -- 3.7 Practical Example: Descriptive Analytics for a Beverage Company's Social Media Marketing Campaign -- 3.7.1 Data Collection and Preparation |
ctrlnum | (OCoLC)1437872193 (DE-599)BVBBV049729294 |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-08-29T00:07:56Z |
institution | BVB |
isbn | 9781394258734 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035071524 |
oclc_num | 1437872193 |
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owner | DE-1050 DE-945 |
owner_facet | DE-1050 DE-945 |
physical | 1 Online-Ressource (xv, 415 Seiten) |
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publishDate | 2024 |
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publisher | Wiley |
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series2 | Wiley and SAS business series |
spelling | Brown, Iain Verfasser aut Mastering marketing data science a comprehensive guide for today's marketers Iain Brown Hoboken, NJ Wiley 2024 1 Online-Ressource (xv, 415 Seiten) txt rdacontent c rdamedia cr rdacarrier Wiley and SAS business series Marketing (DE-588)4037589-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Datenmanagement (DE-588)4213132-7 gnd rswk-swf Marketing (DE-588)4037589-4 s Data Science (DE-588)1140936166 s Datenanalyse (DE-588)4123037-1 s Datenmanagement (DE-588)4213132-7 s DE-604 Erscheint auch als Online-Ausgabe, epub 9781394258727 Erscheint auch als Druck-Ausgabe, Cloth 9781394258710 |
spellingShingle | Brown, Iain Mastering marketing data science a comprehensive guide for today's marketers Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgments -- About the Author -- Chapter 1 Introduction to Marketing Data Science -- 1.1 What Is Marketing Data Science? -- 1.2 The Role of Data Science in Marketing -- 1.3 Marketing Analytics Versus Data Science -- 1.4 Key Concepts and Terminology -- 1.4.1 Data Science -- 1.4.2 Data Visualization -- 1.4.3 Customer Segmentation -- 1.4.4 Predictive Analytics -- 1.4.5 Machine Learning -- 1.4.6 Natural Language Processing -- 1.4.7 Marketing Mix Modeling -- 1.4.8 Big Data -- 1.5 Structure of This Book 1.6 Practical Example 1: Applying Data Science to Improve Cross-Selling in a Retail Bank Marketing Department -- 1.6.1 Data Collection -- 1.6.2 Data Preparation -- 1.6.3 Customer Segmentation -- 1.6.4 Product Recommendation Modeling -- 1.6.5 Campaign Design -- 1.6.6 A/B Testing and Evaluation -- 1.6.7 Monitoring and Refinement -- 1.7 Practical Example 2: The Impact of Data Science on a Marketing Campaign -- 1.8 Conclusion -- 1.9 References -- Chapter 2 Data Collection and Preparation -- 2.1 Introduction -- 2.2 Data Sources in Marketing: Evolution and the Emergence of Big Data 2.2.1 Traditional Data Sources -- 2.2.2 The Emergence of Modern Data Sources -- 2.2.3 Big Data and Its Impact on Marketing -- 2.3 Data Collection Methods -- 2.3.1 Surveys and Questionnaires -- 2.3.2 Web Scraping -- 2.3.3 Application Programming Interfaces -- 2.3.4 Data Purchase -- 2.3.5 Observational Data -- 2.4 Data Preparation -- 2.4.1 Data Cleaning -- 2.4.2 Data Integration -- 2.4.3 Data Transformation -- 2.4.4 Data Reduction -- 2.5 Practical Example: Collecting and Preparing Data for a Customer Churn Analysis -- 2.6 Conclusion -- 2.7 References -- Chapter 3 Descriptive Analytics in Marketing 3.1 Introduction -- 3.2 Overview of Descriptive Analytics -- 3.2.1 The Role of Descriptive Analytics in Marketing -- 3.2.2 Key Techniques in Descriptive Analytics -- 3.2.3 The Importance of Data Visualization -- 3.3 Descriptive Statistics for Marketing Data -- 3.3.1 Measures of Central Tendency -- 3.3.2 Measures of Dispersion -- 3.3.3 Measures of Association -- 3.3.4 Symmetry and Skewness -- 3.4 Data Visualization Techniques -- 3.4.1 Bar Charts and Histograms -- 3.4.2 Line Charts and Time Series Plots -- 3.4.3 Scatterplots and Bubble Charts -- 3.4.4 Heat Maps and Geographic Maps 3.4.5 Visualization Best Practices -- 3.5 Exploratory Data Analysis in Marketing -- 3.5.1 Data Distribution Analysis -- 3.5.2 Correlation and Covariance -- 3.5.3 Visual Exploratory Techniques -- 3.6 Analyzing Marketing Campaign Performance -- 3.6.1 Key Performance Indicators -- 3.6.2 Techniques for Analyzing Marketing Campaign Performance -- 3.6.3 The Role of Descriptive Analytics in Marketing Campaign Performance Analysis -- 3.7 Practical Example: Descriptive Analytics for a Beverage Company's Social Media Marketing Campaign -- 3.7.1 Data Collection and Preparation Marketing (DE-588)4037589-4 gnd Datenanalyse (DE-588)4123037-1 gnd Data Science (DE-588)1140936166 gnd Datenmanagement (DE-588)4213132-7 gnd |
subject_GND | (DE-588)4037589-4 (DE-588)4123037-1 (DE-588)1140936166 (DE-588)4213132-7 |
title | Mastering marketing data science a comprehensive guide for today's marketers |
title_auth | Mastering marketing data science a comprehensive guide for today's marketers |
title_exact_search | Mastering marketing data science a comprehensive guide for today's marketers |
title_full | Mastering marketing data science a comprehensive guide for today's marketers Iain Brown |
title_fullStr | Mastering marketing data science a comprehensive guide for today's marketers Iain Brown |
title_full_unstemmed | Mastering marketing data science a comprehensive guide for today's marketers Iain Brown |
title_short | Mastering marketing data science |
title_sort | mastering marketing data science a comprehensive guide for today s marketers |
title_sub | a comprehensive guide for today's marketers |
topic | Marketing (DE-588)4037589-4 gnd Datenanalyse (DE-588)4123037-1 gnd Data Science (DE-588)1140936166 gnd Datenmanagement (DE-588)4213132-7 gnd |
topic_facet | Marketing Datenanalyse Data Science Datenmanagement |
work_keys_str_mv | AT browniain masteringmarketingdatascienceacomprehensiveguidefortodaysmarketers |