The Relevance of Analytical CRM and Knowledge Management in an Organisation: A Data Mining Structure
نویسنده
چکیده
Knowledge Management and Analytical CRM are useful tools and technology in decision making process and understanding in an organization. This paper aims to provide a complete analysis of the concepts of Data Mining, knowledge management and analytical CRM to set up a framework for integrating all three together. The objective is to show how Knowledge Management and analytical CRM can be integrated into a structure that supports decision making using efficient Data Mining Techniques and to research how working on an analytical CRM system can enable organizations deliver complete solutions.
منابع مشابه
Modelling Customer Attraction Prediction in Customer Relation Management using Decision Tree: A Data Mining Approach
In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organiza...
متن کاملKnowledge discovery from patients’ behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services
The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...
متن کاملImproving Performance of Customer Relationship Management through Applying Knowledge Management
Customer Relationship Management (CRM) and Knowledge Management (KM) have become especial and strategic keys in the current competitive environment for all companies. The critical role of KM as the main determinant of the success of CRM has been the focal point of the previous researches; the present paper aimed at studying the impact of different KM factors- such as Customer Knowledge (CK), S...
متن کاملKnowledge discovery from patients’ behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services
The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...
متن کاملCustomer Knowledge Management
Customer knowledge is one of the most important knowledge bases for an organisation. Organisations need a simple framework for integrating customer knowledge management processes. The article starts by examining the two key disciplinary and process contributions from knowledge management (KM) and customer relationship management (CRM). In the context of KM the need to integrate data, informatio...
متن کامل