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Revenue assurance method using risk analysis and computing with words

Abstract:

The increase in competitiveness in global markets has led to the need for improvements in project-oriented organizations aimed at stimulating financial health. Revenue assurance combines statistical techniques, risk management, scope, time, soft computing, and anomalous data mining, with goals of reducing costs and maximizing revenue in the organizations. This paper presents a method for revenue assurance based on risk analysis techniques and word computation. Furthermore, this aims at improving the detection and prevention processes of situations that affect revenue in project-oriented organizations. Risk management is developed with a proactive approach for planning and qualitative risk assessment. A final analysis is carries out that shows the great advantages of the proposal with respect to the results obtained with the traditional PMBOK technique.