Электронная книга: Antonios Chorianopoulos «Effective CRM using Predictive Analytics»

Effective CRM using Predictive 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. 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.

Издательство: "John Wiley&Sons Limited"

ISBN: 9781119011569

электронная книга

Купить за 4219.8 руб и скачать на Litres

Look at other dictionaries:

  • Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… …   Wikipedia

  • Text analytics — The term text analytics describes a set of linguistic, lexical, pattern recognition,extraction, tagging/structuring, visualization, and predictive techniques. The termalso describes processes that apply these techniques, whether independently or… …   Wikipedia

  • Customer relationship management — (CRM) is a widely implemented strategy for managing a company’s interactions with customers, clients and sales prospects. It involves using technology to organize, automate, and synchronize business processes principally sales activities, but… …   Wikipedia

  • Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… …   Wikipedia

  • Customer attrition — Customer attrition, also known as customer churn, customer turnover, or customer defection, is a business term used to describe loss of clients or customers. Banks, telephone service companies, Internet service providers, pay TV companies,… …   Wikipedia

  • Sales force management system — Sales force management systems are information systems used in marketing and management that help automate some sales and sales force management functions. They are frequently combined with a marketing information system, in which case they are… …   Wikipedia

  • MicroStrategy — Type Public (NASDAQ: MSTR) Industry Business intelligence Founded …   Wikipedia

  • Marketing management — Marketing Key concepts Product marketing · Pricing …   Wikipedia

  • Sentiment analysis — or opinion mining refers to the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials. Generally speaking, sentiment analysis aims to determine …   Wikipedia

  • Marketing performance measurement and management — Marketing Key concepts Product marketing · Pricing …   Wikipedia


Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”

We are using cookies for the best presentation of our site. Continuing to use this site, you agree with this.