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Auteur Chorianopoulos Antonios |
Documents disponibles écrits par cet auteur (2)
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Titre : Effective CRM using predictive Analytics Type de document : Ouvrage Auteurs : Chorianopoulos Antonios, Auteur Editeur : Chichester [Royaume-Uni] : Wiley Année de publication : 2016 Importance : 371 ISBN/ISSN/EAN : 978-1-119-01155-2 Termes (thésaurus) : Analyse de l'information
Big Data
Cluster
Comportement du consommateur
Innovation collaborative
Innovation technologique
Marketing cross-canal
Recherche de l'information
Relations entreprise clientèleRésumé : 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.Réservation
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Titre : Data Mining Techniques in CRM: inside customer segmentation Type de document : Ouvrage Auteurs : Konstantinos Tsiptsis, Auteur ; Chorianopoulos Antonios, Auteur Editeur : Chichester [Royaume-Uni] : Wiley Année de publication : 2009 Importance : 357 ISBN/ISSN/EAN : 978-0-470-74397-3 Termes (thésaurus) : Analyse des données
Application mobile
Client
Guide
Management
Marketing direct
Segmentation
TélécommunicationRéservation
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