International Journal of Data Mining and Emerging Technologies
  • Year: 2012
  • Volume: 2
  • Issue: 1

Customer Relationship Management on J2EE and. NET using Business Intelligence (A Comparative Study on net and j2ee Platforms on various Parameters and Features)

1Associate Professor, Department of Informatics, Alluri Institute of Management Sciences, Warangal, Andhra Pradesh, India

2Principal, (Former HOD of ECE Department), Salem College of Engineering, Salem, Tamil Nadu, India

*Email id: phdvvnk@gmail.com

Abstract

In this research, an attempt was made to compare both the Microsoft. NET and Sun's J2EE Platforms on various parameters like frameworks, architecture, applications, database connective etc. A multiple choice questionnaire (Appendix 1) was distributed among the users of. net and j2ee platforms (or both platforms). Their opinions were collected and based on their opinions we formulated some graphs and came to a conclusion how much the user is satisfied with their platforms. Customer Satisfaction comes under Customer Relationship Management.

Customer Relationship Management is a business strategy that is adopted in various companies in order to increase the profits by making the customer satisfy with their products and hence increase their loyalty. Customer data is collected from various data sources and is analysed in order to increase the sales, customer support and marketing of the products. It is also used to make some quick and informed decisions.

In business intelligence data is gathered, stored in a data warehouse in the form of data cubes. Data is collected into the data warehouse from various resources. This data is analysed the analysis is used to by the enterprises to make better decisions. Various activities like decision making, querying, reporting, online analytical processing, statistical analysis, forecasting are involved in Business Intelligence. Business Intelligence adopts data mining techniques like classification, clustering, decision tress, prediction, neural networks etc for analysing the data in order to provide visibility, clarity and insight into the data.

Keywords

Comparative Study, Business Intelligence, Data mining, Bayes Theorem, Customer Satisfaction, Customer Relationship Management