mpmX is an innovative platform dedicated to modular process mining and process intelligence, designed to aid organizations in extracting, analyzing, visualizing, and optimizing intricate operational processes by interfacing directly with existing data systems like Qlik, Snowflake, and Databricks, thereby eliminating the need for data duplication or migration. By mining fragmented business data, it uncovers genuine process flows, interdependencies, inefficiencies, and bottlenecks, effectively merging business intelligence with process mining to allow teams to grasp both numerical KPIs and the fundamental workflows driving them, ultimately leading to the identification of root causes rather than merely addressing surface-level issues. Additionally, mpmX offers functionalities such as visual process mapping, dynamic filtering, time-based analysis, and multi-perspective process views, along with the capability for automated report generation, thereby empowering analysts and decision-makers to gain a comprehensive understanding of performance at scale and make informed strategic decisions.