Table of Contents
List of Tables
- Chapter 02
- Chapter 04
- Chapter 05
- Chapter 06
- Chapter 08
- Chapter 09
- Chapter 10
List of Illustrations
- Chapter 01
- Chapter 02
- Chapter 03
- Chapter 04
- Chapter 05
- Chapter 06
- Chapter 07
- Chapter 08
- Chapter 09
- Chapter 10
Guide
Pages
Monetising Data: How to Uplift Your Business
Andrea Ahlemeyer-Stubbe
Director Strategical Analytics at the servicepro Agentur fr Dialogmarketing und Verkaufsfrderung GmbH, Munich, Germany
Shirley Coleman
Technical Director, ISRU, School of Mathematics and Statistics, Newcastle University, UK
This edition first published 2018
2018 John Wiley & Sons Ltd
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This book is dedicated to
Agnes, Albert, Christopher, Dirk, Rosie and Rowan
With thanks
About the Authors
Andrea AhlemeyerStubbe is Director of Strategical Analytics at serviceproAgentur fr Dialogmarketing und Verkaufsfrderung GmbH, Munich, Germany (servicepro).
Upon receiving her Masters degree in statistics from the University of Dortmund, Andrea formed a consulting firm, offering customised professional services to her clients. She now leads servicepros analytics team, working on international projects for wellknown brands in Europe, United States and China, drawing on the wealth of experience gained from her 20 years in the industry, specifically in the areas of data mining, data warehousing, database marketing, CRM, big data and social CRM. She is a frequent lecturer at several universities, as well as an invited speaker at professional conferences. She writes for special interest magazines as well as marketing and management publications. She was President of ENBIS (European Network for Business and Industrial Statistics) from 20072009.
Dr Shirley Coleman is Principal Statistician and Technical Director at the Industrial Statistics Research Unit, School of Mathematics and Statistics, Newcastle University and a visiting scholar at the Faculty of Economics, Ljubljana University, Slovenia. She works on data analytics in small and medium enterprises and the energy sector and contributed a highly ranked impact case study to Newcastle Universitys Research Excellence Framework. She publishes in trade and academic journals and is coeditor of several books. She is an elected member of the International Statistics Institute and a Chartered Statistician of the Royal Statistical Society. She is a wellknown international invited speaker and conference chair. She is an ambassador for communication and dissemination of statistics to the wider community. She was President of ENBIS (European Network for Business and Industrial Statistics) from 20042005.
The authors have previously collaborated on A Practical Guide to Data Mining for Business and Industry (Wiley, May 2014).
List of Figures
Where does big data come from? |
Big data empowers business |
Roadmap to success |
Wish list for generating money out of data |
Monetising data |
Demings Plan, Do, Check, Act quality improvement cycle |
Six Sigma quality improvement cycle |
Example of data maturity model |
Data improvement cycle |
Big data definition |
Internet of things timeline |
Example data structure |
NoSQL management systems |
Big data structure and latency |
Supervised learning |
Unsupervised learning |
The CRISPDM process |
The SEMMA process |
General representation of the data mining process |
Time periods for data mining process |
Stratified sampling |
Lift chart for model comparison |
Lift chart at small scale |
An example of model control |
Raw data from a customer transaction |
Bar chart of relative frequencies |
Example of cumulative view |
Example of a Pareto chart |
Example of a pie chart |
Scatterplot of company age and auditing behaviour with LOWESS line |
Scatterplot of design options |
Ternary diagram showing proportions |
Radar plot of fitness panel data |
Example of a word cloud |
Example of a mind map |
Location heat map |
Density map for minivans |
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