Modified Version of the Cumulative Sum Statistical Analysis Method

Abstract

A cumulative sum (CUSUM) is a method used to identify significant changes in data trends using the cumulative sum of deviations from a predefined targeted value. The current process can only detect changes in horizontal trends relying on visual inspection. The paper presents a modified method to detect upward and downward trends using a data transformation algorithm. The algorithm automates the detection process and overcomes the need for visual inspection. The technique enhances and prompts the ability of stakeholders to anticipate fluctuations in large data sets and make informed decisions.