IMPLEMENTING A SUCCESSFUL BUSINESS INTELLIGENCE FRAMEWORK FOR ENTERPRISES
|S. Hanumanth Sastry*1, Prof. M. S. Prasada Babu2
|Corresponding Author: S. Hanumanth Sastry, E-mail: [email protected]|
|Related article at Pubmed, Scholar Google|
This paper examines the typical tasks undertaken in designing and deploying BI applications to improve quality of interaction between Organization & their customers. Organizations have a great deal of transaction data, from which hidden patterns can be drawn out for predicting product selection and customer behaviour. Intelligent Data Analytics provides powerful and effective tools for problem solving in a variety of Modelling Tasks. Classification & Prediction are crucial for Predictive Modelling and help organizations to proactively manage change. The aim of BI is to improve Business process efficiency by reducing costs without impacting production and also optimizing inventories. BI Deployment simply means getting the information, in a usable format; to the place where it is needed. Choosing an appropriate BI framework is essential for deriving optimal results from Data Mining and Knowledge discovery initiatives.