An enterprise resource management model for business intelligence, data mining and predictive analytics

Abstract

Enterprise Resource Management System (ERMS) is used in the management of enterprise for the computerization of enterprise processes such as management of customer data, employee data, client data, financial data, sales reports, attendance reports, inventory details, equity details and payroll details. An ERMS can handle different user roles such as manager, CEO, employees, customers and has abstraction features for its users. It is the core software used by all enterprises as it provides an interface for the overall management of the enterprise. The proposed ERMS model is easy to use, easily configurable as well as economical in terms of time and cost. Moreover, it can adapt easily to any browser or device through its inbuilt bootstrap framework. Migration of data from the existing enterprise system is also feasible. Business Intelligence can be obtained by performing data mining and predictive analytics with the massive data obtained in the central cloud storage area of the proposed ERMS model. Implementation of the proposed ERMS model can be extremely beneficial for the enterprise as it can gain valuable insights regarding the running of its business, customers and competitors.