A Sales force automation [SFA] solution for a complexly diversified organization

Abstract

Nowadays, there is a massive number of business are competing in the industry to achieve their business goals and earn high profits. Furthermore, many large organizations consist of complexly diversified sales based businesses across the globe. Many businesses are depending on each other, and some are running independently. In the software industry, most of IT software solutions are developing based on requirements analysis and considering the individual behaviors of the business. For a Sales Force Automation System (SFA) this becomes a large scaled problem when implementing a system from one business to another business. Diversities of the businesses, less adoption and software bugs may occur when implementing one SFA system to another business. In this thesis, identify the problems of the existing sales force automation system’s implementations among multiple businesses and deliver a proper dynamic flow-based software solution (implementation) with rectifying those problems.