Audience
Data analysts, process improvement specialists and business intelligence teams in medium to large enterprises that want to gain actionable insights from operational data and continuously improve complex workflows using integrated process mining and analytics tools
About mpmX
mpmX is a modular process mining and process intelligence platform that helps organizations extract, analyze, visualize, and optimize complex operational processes by connecting directly to existing data infrastructures such as Qlik, Snowflake, and Databricks rather than moving or duplicating data, enabling deep insights without data redundancy or new silos. It mines fragmented business data to reveal real process flows, dependencies, inefficiencies, and bottlenecks, combining business intelligence and process mining so teams can see both numerical KPIs and the underlying workflows that drive them and identify root causes instead of surface symptoms. mpmX supports visual process mapping, dynamic filtering, time-based analysis, multi-perspective process views, and automated report generation, helping analysts and decision-makers understand performance at scale.