KU Online SCM 612: Customer Relationship Management: eBooks

This book presents strategies that put the customer at the center of an enterprise. It elaborates on the reasons for viewing customers as assets that a firm needs to acquire, develop and cultivate in order to generate profitable relationships, and champions customer profitability as the metric for measuring business performance. Further, it advocates the need to provide solutions to customers’ requirements with bundles of products and services. It broadens the definition of customer value beyond tangible benefits and price to include both tangible and intangible benefits and total ownership costs, while embracing a variety of unique customer needs.

Walden shows why most customer experience management fails to improve the customer's real experience and how to concentrate on the subjective emotional perceptions that drive the customer's actual "experience" rather than the quantitative service efficiency metrics gathered by most CX tools. Customer experience management is not about managing every objective "experience" your customers have with you. It's about understanding, measuring and creating "experiences" that customers "value". The message of this book is that businesses are at risk! Their uber focus on efficiency is leading them to miss the chance to connect more closely with their customer base and deliver on the creative potential of their brand

The leading introductory book on data mining, fully updated and revised! This new edition shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Covering a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more.

This thesis addresses the issue of customer complaints in the context of Customer Relationship Management (CRM). After a comprehensive survey of the current literature on CRM, the thesis describes the development of a new intelligent CRM (I-CRM) framework, which integrates text analytics, type mapping, SPSS, structural equation modeling, and linear and fuzzy approaches. This new methodology, in contrast to previous ones, is able to handle customer complaints with respect to different variables, thus allowing organizations to find their key customers and key complaints, and to address and provide solution to the major complaints of the key customers, hence promoting business development.