The shift to object-centric process mining is enabled by a change in the underlying data model: from cases (which flattens source data to group events by a single primary identifier) to object-centric event data (which models relations between objects and events using many-to-many relations). This shift also comes with a storage and performance overhead - … Continue reading 5x-10x Faster Object-Centric Event Data Systems Just by Waiting – Event Knowledge Graphs are Catching Up
By Dirk Fahland. In this post, I show how simple data visualizations help understanding the multi-dimensional nature of processes. Even the most simple classical business processes have important dynamics that cannot be understood by cases in isolation. The Performance Spectrum was originally designed to deliver a useful process map for analyzing logistics processes over time. … Continue reading Performance Spectrum for Analyzing Business Processes
Dirk Fahland One of the core challenges of process analytics from event data is to enable an analyst to get a comprehensive understanding of the process and where problems reside. In business process mining such an overview is obtained with a process map. It can be discovered from event data to visualize the flow in … Continue reading The Performance Spectrum
Multi... Process Mining 