Subscriber Data Mining for Business Reporting and Decision Making in Telecommunications is a web application for implementing Customer Relationship Management (CRM) in telecommunications. Data mining is an effective means for formulating CRM strategy in telecommunication companies. Customer relationship management (CRM) is a model for managing a company’s interactions with current and future customers. In present competitive scenario among telecommunication companies, proper strategy formulation assists greatly for its success. CRM strategy drives business and data mining processes. Analytical CRM utilizes mining and warehousing concepts for prosperity of telecoms. In this project, various visualizations adopting business intelligence approach and data analysis are carried out that help end users to have better insight of the mobile subscriber and services usage by them with respect to the age, gender, time, date etc. Customer profiling is carried out in addition to segregation of customer segments. Besides, churn pattern analysis help telecom to b e aware of the churn behavior and also help to find fraud behavior of the customers based on their call behavior


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