Creating value with data analytics in marketing: mastering data science
Material type:
TextPublication details: London Routledge 2022 Edition: 2ndDescription: xxii, 314 pISBN: 9780367819798Subject(s): Marketing--Data processing | Big data | Consumer profilingDDC classification: 658.83 Summary: 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | Marketing | 658.83 VER (Browse shelf(Opens below)) | 1 | Available | 004208 |
Table of Contents
1 Data science and big data
2 Creating value with data science
3 Value objectives and metrics
4 Data assets
5 Data storing and integration
6 Customer privacy and data security
7 Data analytics
8 Data exploration
9 Data modeling
10 Creating impact with storytelling and visualization
11 Creating value with data science
12 Building successful data analytics capabilities
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.
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