Malta, Pedro Manuel Carqueijeiro Espiga da MaiaAldera, Emanuele2024-03-122024-03-122024-02-01http://hdl.handle.net/10362/164771Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsProcess Mining is a discipline that has been growing very fast in the last years, and it has been adopted by many companies to have greater visibility on the ongoing processes within the company itself. Process Mining leverages the increasingly intensive adoption and use of ERP systems by companies, using the digital footprints created by those systems to implement the necessary data needed to achieve its main three objectives: Discovery, Monitoring and Improving. As a point of contact between Data Mining and Business Process Management (BPM), Process Mining analyzes a large volume of data to extract insights, patterns, and other useful information within the data, as well as analyzing and improving existing business processes within the organization. The objective of this internship report is to dissect and describe the usage of Process Mining encountered during this internship within Solvay, a global leading company in the chemistry sector, using a qualitative methodology approach to describe the usage of the Celonis tool, the leading Process Mining software, supplemented by a literature review to provide a comprehensive analysis of the topic.engProcess MiningBusiness Process ManagementData MiningSolvayCelonisBusiness Process IntelligenceSDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 12 - Responsible production and consumptionmaster thesis203543971