mpmX is a process mining platform developed by MPMX GmbH that enables organizations to analyze, visualize, and continuously improve their operational processes based on real process data. By analyzing event logs from existing enterprise systems such as ERP, CRM, or custom applications, mpmX automatically reconstructs a digital twin of end-to-end business processes – showing how processes actually run across systems and teams. Key capabilities include: Process Discovery mpmX uncovers all real process variants, including deviations, bottlenecks, and rework loops. Interactive process maps provide full transparency into complex operational flows. Performance & Root Cause Analysis With powerful filtering, KPIs, and drill-down capabilities, users can identify inefficiencies, compliance issues, and performance drivers in real time. AI-supported analytics help surface relevant patterns, correlations, and anomalies within complex process landscapes. Process Optimization & Automation Enablement The platform supports data-driven process improvement initiatives and helps identify opportunities for standardization, optimization, and automation. AI-based recommendations assist users in prioritizing improvement measures and focusing on high-impact process changes. Originally built within the Qlik ecosystem, mpmX has evolved into a platform-native process mining solution that follows a “play the data where it lives” philosophy. Today, mpmX integrates natively with modern data platforms and analytics stacks such as Qlik, Snowflake, and Databricks – enabling seamless process analysis directly on enterprise data without unnecessary data movement. This evolution allows mpmX to combine deep process mining expertise with AI-driven insights and the flexibility and scalability of modern data architectures – supporting organizations on their journey toward operational excellence.