CRM Analytics Framework

Implementing a CRM Analytics solution for a business involves many steps including data extraction, populating the extracted data into a warehouse, and running an appropriate mining algorithm. We propose a CRM Analytics Framework that provides an end-to-end framework for developing and deploying pre-packaged predictive modeling business solutions, intended to help in reducing the time and effort required for building the application. Standardization and metadata-driven development are used in the solution; this makes the framework accessible to nonexperts. We describe our framework that makes use of industry standard software products and present a case study of its application in the financial domain.

• Type: Conference
• Year: 2009
• Where: COMAD
• Authors: Joseph P. Bigus, Upendra Chitnis, Prasad M. Deshpande, Ramakrishnan Kannan, Mukesh K. Mohania, Sumit Negi, Deepak P, Edwin Pednault, Soujanya Soni, Bipen K. Telkar, Brian F. White
• Keywords: COMAD 2008, COMAD 2009, CRM Analytics, CRM Analytics Solution, Pre-packaged Predictive Modeling