ABSTRACT

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.

chapter Chapter 1|5 pages

Data science and big data

chapter Chapter 2|14 pages

Creating value with data science

chapter Chapter 3|40 pages

Value objectives and metrics

chapter Chapter 4|17 pages

Data assets

chapter Chapter 5|22 pages

Data storing and integration

chapter Chapter 6|20 pages

Customer privacy and data security

chapter Chapter 7|19 pages

Data analytics

chapter Chapter 8|36 pages

Data exploration

chapter Chapter 9|47 pages

Data modeling

chapter Chapter 10|25 pages

Creating impact with storytelling and visualization

chapter Chapter 11|29 pages

Creating value with data science

chapter Chapter 12|29 pages

Building successful data analytics capabilities