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Business --- Customer relations --- Management --- SAS (Computer program language) --- Data mining. --- Gestion --- Relations avec la clientèle --- SAS (Langage de programmation) --- Exploration de données (Informatique) --- Data processing. --- Informatique --- Enterprise miner. --- Data mining --- Data processing --- Enterprise miner --- SAS (Computer program language). --- Relations avec la clientèle --- Exploration de données (Informatique) --- Business - Data processing --- Customer relations - Management - Data processing

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Customer relations --- Data mining --- Management --- Data processing --- marketing information systems --- CRM --- dataverwerking --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Business --- Public relations --- Consumer affairs departments --- Customer advisory boards --- Relationship marketing --- CRM (Customer relationship management) --- Customer relationship management --- Management&delete& --- Salesforce (Online service) --- Customer relations - Management - Data processing --- Customer relations - Management

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Managing and transferring knowledge - at the right time, in the right place and with the right quality for customers - enables companies to survive in times of fierce competition. The focus of this work is therefore on Knowledge Management and Customer Relationship Management. The theoretical part comprises several approaches to knowledge, its transfer and the barriers to be overcome when sharing knowledge. This is followed by a description of CRM and CKM (Customer Knowledge Management), outlining how crucial their successful use is. The practical part explores on the one hand the dependence on knowledge and on the other hand its availability for a good customer relationship. It includes a case study that investigates both the administrative and the operational area of a concrete company. The survey results are then discussed in detail, key success factors identified and mistakes pointed out. After this critical analysis, final recommendations are given that every company can benefit from.

Customer relations -- Management -- Data processing. --- Customer relations -- Management. --- Customer relations. --- Knowledge management. --- Management. --- Commerce --- Management --- Business & Economics --- Management Theory --- Marketing & Sales --- Management science. --- Quantitative business analysis --- Business. --- Business and Management. --- Knowledge Management. --- Business and Management, general. --- Problem solving --- Operations research --- Statistical decision --- Business --- Public relations --- Consumer affairs departments --- Customer advisory boards --- Relationship marketing --- Trade --- Economics --- Industrial management --- Management of knowledge assets --- Information technology --- Intellectual capital --- Organizational learning

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CRM Fundamentals is a critical and comprehensive resource for executives and project leaders tasked with managing customer relationship management (CRM) initiatives. It provides an introduction to CRM and how it delivers value to organizations, and describes the process to build and execute a CRM roadmap successfully—including identifying goals, lining up the right people, planning projects, choosing software packages and consultants, managing the initial CRM implementation, and maintaining and evolving the program over time.   Written by  senior CRM consultants, CRM Fundamentals includes plenty of detailed, useful advice to help you get the most value from your CRM investments and to avoid common pitfalls associated with CRM.

Customer relations -- Management -- Data processing. --- Customer relations -- Management. --- Electronic commerce. --- Customer relations --- Engineering & Applied Sciences --- Commerce --- Business & Economics --- Marketing & Sales --- Computer Science --- Management --- Information Technology --- Computer Science (Hardware & Networks) --- Management. --- CRM (Customer relationship management) --- Customer relationship management --- Computer science. --- Computers. --- Computer Science. --- Computer Science, general. --- Information Systems and Communication Service. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Science --- Information systems. --- Computer Applications. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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This book introduces a fuzzy classification approach, which combines relational databases with fuzzy logic for more effective and powerful customer relationship management (CRM). It shows the benefits of a fuzzy classification in contrast to the traditional sharp evaluation of customers for the acquisition, retention and recovery of customers in online shops. The book starts with a presentation of the basic concepts, fuzzy set theory, and the combination of relational databases and fuzzy classification. In its second part, it focuses on the customer perspective, detailing the central concepts of CRM, its theoretical constructs and aspects of analytical, operational and collaborative CRM. It juxtaposes fuzzy and sharp customer classes and shows the implications for customer positioning, mass customization, personalization, customer assessment and controlling. Finally, the book presents the application and implementation of the concepts in online shops. A detailed case study presents the application and a separate chapter introduces the fuzzy Classification Query Language (fCQL) toolkit for implementing these concepts. In its appendix the book lists the fuzzy set operators and the query language’s grammar.

Economics/Management Science. --- IT in Business. --- e-Commerce/e-business. --- Marketing. --- Sales/Distribution/Call Center/Customer Service. --- Economics. --- Economie politique --- Marketing --- Customer relations -- Management -- Data processing. --- Electronic commerce -- Management. --- Fuzzy logic. --- Commerce --- Business & Economics --- Commerce - General --- Customer relations --- Electronic commerce --- Management --- Data processing. --- Management. --- Nonlinear logic --- Business. --- Information technology. --- Business --- Sales management. --- E-commerce. --- Business and Management. --- Sales/Distribution. --- Salesforce (Online service) --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Management, Sales --- Industrial management --- Selling --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Aftermarkets --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing