Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics.
Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself 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.
By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.
|Publisher:||Taylor & Francis|
|Product dimensions:||6.25(w) x 9.25(h) x 0.81(d)|
About the Author
Peter C. Verhoef is Professor of Marketing at the Department of Marketing, Faculty of Economics and Business, University of Groningen, The Netherlands. He also holds a visiting professorship in Marketing at BI Norwegian Business School in Oslo.
Edwin Kooge is co-founder of Metrixlab Big Data Analytics, The Netherlands. He is a pragmatic data-analyst, a result focused consultant, and entrepreneur with more than 25 years’ experience in analytics.
Natasha Walk is co-founder of Metrixlab Big Data Analytics, The Netherlands. She is a data-hacker, analyst, and talent coach with more than 20 years of experience in applied analytics.
Table of Contents
1. Big Data Challenges 2. Creating Value using Big Data Analytics 2.1 Value to Customer Metrics 2.2 Value to Firm Metrics 3. Data, Data Everywhere 3.1 Data integration 3.2 Customer Privacy and Data Security 4. How Big Data is Changing Analytics 4.1. Classic Data Analytics 4.2. Big Data Analytics 4.3. Creating Impact with Storytelling and Visualization 5. Building Successful Big Data Capabilities 6. Every Business Has (Big) Data, Let’s Use It 7. Concluding Thoughts and Key-Learnings