DATA ANALYSIS IN THE INDUSTRY 4.0 ERA: INVESTIGATING THE O2C PROCESS AND ORGANIZATIONAL PERFORMANCE WITH SAP SIGNAVIO

The digital transformation characteristic of the Industry 4.0 era has brought to the fore the need for a deep understanding of operational processes, especially in companies that depend on integrated production and sales flows. In this context, operational data analysis becomes an essential tool for informing managerial decisions and optimizing organizational performance. This paper investigates how SAP Signavio Process Intelligence technology can be used to analyze and visualize the Order-to-Cash (O2C) process, providing a granular view of actual activity sequences, deviations from the standard path, logistical bottlenecks, and the impact of these phenomena on financial and operational performance. Based on a set of operational data extracted from an ERP system and analyzed using process mining techniques, the study highlights the relationships between process behavior, execution quality, and operational efficiency. The results demonstrate that integrating process intelligence into the Industry 4.0 ecosystem not only increases end-to-end visibility into processes, but also supports the development of advanced monitoring and continuous improvement mechanisms. The paper argues the importance of adopting intelligent tools such as SAP Signavio in assessing organizational performance and configuring robust, flexible O2C processes adapted to the requirements of the contemporary digital environment.