Object-Centric Processes – from cases to objects and relations… and beyond

Object-Centric Processes are a new way to look at processes: instead understanding a process execution as a sequence of isolated steps in a monolithic case, an object-centric process describes how its activities work on the various involved and related objects over time. This idea of describing processes as emerging from an interplay of changes to … Continue reading Object-Centric Processes – from cases to objects and relations… and beyond

Online Course on Multi-Dimensional Process Analysis

The process mining landscape is evolving rapidly - both in industry and in research. But our education has not kept up. The "(still) very successful "original" Process Mining MOOC Process Mining in Action has been extremely successful in teaching the foundations of Process Mining to a broad audience of practitioners, students, and researchers aiming to … Continue reading Online Course on Multi-Dimensional Process Analysis

Data Storage vs Data Semantics for Object-Centric Event Data

This post summarizes my talk on “Data Storage vs Data Semantics for Object-Centric Event Data” I gave at the XES symposium at the ICPM 2022 conference. I first provide a bit of background and the problem we faced, before I turn to the issue of separating data storage from data semantics. Background Process Mining analysis … Continue reading Data Storage vs Data Semantics for Object-Centric Event Data

The hidden assumptions and forgotten topics of Process Mining, part 2 (Deviations, Patterns, Features)

Also this year, we are organizing the 3rd International workshop on Event Data and Behavioral Analytics (EdbA’22) at the ICPM’22. Part of our workshop philosophy is to dedicate half of the time to open discussions on the topics of the workshop. The discussion often turns to what makes the problems we are looking at difficult … Continue reading The hidden assumptions and forgotten topics of Process Mining, part 2 (Deviations, Patterns, Features)

The hidden assumptions and forgotten topics of Process Mining, part 1 (Human Behavior)

Also this year, we are organizing the 3rd International workshop on Event Data and Behavioral Analytics (EdbA’22) at the ICPM’22. Part of our workshop philosophy is to dedicate half of the time to open discussions on the topics of the workshop. The discussion often turns to what makes the problems we are looking at difficult … Continue reading The hidden assumptions and forgotten topics of Process Mining, part 1 (Human Behavior)

How do Event Graphs help analyzing Event Data over Multiple Entities?

Classical event logs have the fundamental shortcoming of describing process behavior only in isolated process executions from the viewpoint of a single case entity. Most real-life processes involve multiple entities and process executions are not isolated but tightly connected - through actors and entities involved in multiple executions. This post summarizes how event graphs are … Continue reading How do Event Graphs help analyzing Event Data over Multiple Entities?

Guide to Multi… Process Mining talks at ICPM 2021 workshops

Process Mining over multiple perspectives, dimensions, objects, entities, abstraction levels, etc. is gaining a lot of attention in the process mining field in 2021. If you want to learn more about the emerging topics in Multi... Process Mining, this short guide has you covered for the workshop day (1st Nov 2021) of the 3rd International … Continue reading Guide to Multi… Process Mining talks at ICPM 2021 workshops

Artifact-Centric Process Mining for ERP-Systems with Multiple Case Identifiers

By Dirk Fahland. Analyzing processes supported by an ERP system such as Order-to-Cash or Purchase-to-Pay are one of the most frequent use cases of process mining. At the same time, they are one of the most challenging, because the processes operate on multiple related data objects such as orders, invoices, and deliveries in n:m relations. … Continue reading Artifact-Centric Process Mining for ERP-Systems with Multiple Case Identifiers

Performance Spectrum for Analyzing Business Processes

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