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Effective CRM using Predictive Analytics, by Antonios Chorianopoulos
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A step-by-step guide to data mining applications in CRM.
Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques.
The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes.
In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise.
Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications.
Key Features:
- Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues.
- Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel.
- Accompanied by a website featuring material from each case study, including datasets and relevant code.
Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM.
Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining.
- Sales Rank: #1161104 in Books
- Published on: 2016-01-19
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x 1.00" w x 6.90" l, 2.15 pounds
- Binding: Hardcover
- 392 pages
Review
Need to learn how to apply data mining to CRM? Just read "Effective CRM using Predictive Analytics"@DataMiningBlog June 12 2016
From the Back Cover
"Data science should become less scientific and more practical - and this is what this book strives for. It gives marketing experts the necessary background to apply predictive analytics in CRM and improve business outcomes with techniques like cross-selling and customer segmentation."Dr. Ingo Mierswa, Founder & CTO of RapidMiner.
"Effective CRM using Predictive Analytics demonstrates how organizations can become customer centric, while driving profitable revenue. The book is a great introduction to the predictive analytics technology that provides deep customer insight and data driven recommended actions. It is full of practical examples describing a variety of use cases, what data is required and what models are deployed. Inspiration for anybody who pursues customer centricity as a route to success!"
Vivian Braun, WW Predictive Customer Intelligence Marketing Lead, IBM Analytics.
A step-by-step guide to data mining applications in CRM.
Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques.
The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes.
In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications.
Key Features:
- Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues.
- Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel.
- Accompanied by a website featuring material from each case study, including datasets and relevant code.
About the Author
Antonios Chorianopoulos, Alpha Bank Greece.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Excellent book for any Data Miner/Data Scientist/Business Analyst
By Ilias Mamouras
‘Effective CRM Using Predictive Analytics’ by Antonios Chorianopoulos is a must-read book for any Data Miner / Data Scientist dealing with customer centric corporation data. The author shares his professional and academic knowledge and experience by depicting and analyzing methodologies, Data Mining best practices along with real world applications across several industries, demystifying the usage of Data Mining models and clarifying all the methodological issues. It is an extremely didactic practical book that combines Data Mining and Business knowledge, providing all the necessary information for designing, setting up, executing and deploying Data Mining techqniues in CRM.
I would absolutely recommend it because it offers all the necessary theoretical and practical knowledge on Data Mining techniques in a very detailed and easy to read way and actually bridges the gap between science and decision making.
Ilias Mamouras
Senior Data Mining Consultant
PREDICTA SA
0 of 0 people found the following review helpful.
An Innovative Book for Predictive Analytics Applications
By Amazon Customer
The scope of the book is to be an applied guide instead of another generic reference book on data mining and CRM. And in my opinion it certainly succeeds. Data mining algorithms are presented in plain English for business users, along with detailed roadmaps for applying predictive analytics in every-day marketing. And all the above with illustrative examples and the use of popular software tools.
The last part of the book features realistic case studies from banking, retail and telecoms. Given the level of detail and the companion site material, the presented case studies can be used as application templates.
In spite of not covering some recent trends and algorithms, the book is definitely a 5-star and a must-have for marketers and data mining practitioners.
Fotis Koutsoumpos,
Services Director
Predicta (Former SPSS Greece)
0 of 0 people found the following review helpful.
An excellent book for Predictive Analytics techniques
By Amazon Customer
Effective CRM using Predictive Analytics
An excellent book for Predictive Analytics techniques! Effective CRM using Predictive Analytics is a very well written book for real-world analytics/big data applications. It is a must-read!!
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