Creating Value with Data Analytics in Marketing

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A01=Edwin Kooge
A01=Jaap E. Wieringa
A01=Natasha Walk
A01=Peter C. Verhoef
advanced marketing analytics strategies
Age Group_Uncategorized
Age Group_Uncategorized
Albert Heijn
Analytics
Author_Edwin Kooge
Author_Jaap E. Wieringa
Author_Natasha Walk
Author_Peter C. Verhoef
automatic-update
Big Data
big data analytics
Big Data Influence
Brand Data
Brand Metrics
business intelligence methods
Category1=Non-Fiction
Category=KJMV3
Category=KJS
Category=UN
Category=UY
Churn Model
CLV Model
COP=United Kingdom
CRM
Cumulative Lift
Customer Equity
Customer Id
customer insights
Customer Profitability
Data Cleansing
Data Exploration Techniques
Data Lakes
Data Marts
Data Science
Data Scientist
data visualisation techniques
Data Warehouse
Decile Analysis
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Language_English
marketing data science
Marketing Intelligence
Marketing Performance
Marketing Performance Measurement
Marketing Research
PA=Available
Picture Superiority Effect
Price_€20 to €50
Privacy Calculus
PS=Active
quantitative marketing research
Smite
softlaunch
Supervised Machine Learning
SVM

Product details

  • ISBN 9780367819798
  • Weight: 1060g
  • Dimensions: 174 x 246mm
  • Publication Date: 08 Nov 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing.

Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies.

Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management.

Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.

Peter C. Verhoef is the Dean of the Faculty of Economics and Business and Professor of Marketing at the University of Groningen, the Netherlands.

Edwin Kooge is a co-founder of BAYZ, a consulting agency focusing on teaching companies to master analytics. He is a data science expert, results-focused business advisor and entrepreneur with more than 25 years’ experience in analytics.

Natasha Walk is a co-founder of BAYZ, a consulting agency focusing on teaching companies to master analytics. She is a pragmatic data science expert focusing on talent development in data science with more than 25 years’ experience in analytics.

Jaap E. Wieringa is a Professor of Research Methods in Business at the Department of Marketing at the University of Groningen, the Netherlands, and is a Research Director of the Customer Insights Center.

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