EBPA is a comprehensive approach toward business and process modeling aimed at transforming and improving business performance with an emphasis on cross-viewpoint (strategy, analysis, architecture, automation), cross-functional analysis to support strategic and operational decisions.
Process mining platforms are designed to discover, monitor and improve processes by extracting knowledge from events captured in information systems to continuously deliver visibility and insights. Process mining includes automated process discovery (extracting process models from an event log), conformance checking (monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction and history-based recommendations. Process mining platforms extend process mining capabilities by advanced process analytics, process improvement detection and process improvement recommendations, partly driven by AI and generative AI (GenAI).
A digital twin of an organization (DTO) is a dynamic software model of any organization that relies on operational and contextual data to understand how an organization operationalizes its business model, connects with its current state, responds to changes, deploys resources and delivers customer value.