
Navigate the Celonis process mining platform and understand its structure through a practical, demo-based walkthrough of features like the process explorer, process variant, and charts and tables.
Explore the basics of process mining and how the Salonis process intelligence platform implements it, including case-centric and object-centric views and PQL.
Start your journey in process mining with Celonis, as an experienced instructor guides you through the platform step by step, building excitement to get started.
Process mining reveals how work actually runs using event data, while process intelligence analyzes it to identify bottlenecks and explain why paths occur.
Define scope and allocate resources as the process owner, then translate knowledge into structured definitions with the process modeler to ground process mining analytics in reality.
Solonus, a process mining and process intelligence platform, visualizes processes with metrics and AI insights, and supports object-centric analytics across orders, deliveries, and invoices.
Explore case-centric process mining with Celonis by using real execution data to build a sequential event log for a single object, uncovering cycle times, bottlenecks, and deviations.
Analyze processes using object-centric mining that tracks multiple interacting objects and switch perspectives freely. Leverage a single flexible data model to compare sales orders, items, deliveries, and invoices.
Ingest data from ERP, cloud, data warehouses, and apps into a data core. Map data to processes and business context to form a process intelligence graph.
Compare Signavio Process Intelligence and Solonis across core process mining, OCPM, and SAP integration, highlighting Solonis' depth for complex environments and Signavio's SAP-centric process discovery and conformance.
Explore the Celonis platform overview, from Soloness Studio and publishing apps to the Marketplace, Transformation Hub, and Admin settings for permissions, API keys, and licenses.
Create a new space in studio to host a data model, visualize data, build and customize apps, and automate actions, then edit space details and linked data models.
Create a package in Studio, name it order management, and choose view to auto generate the asset and knowledge model, with suggested data models from space settings.
Explore what a package contains: a collection of assets, including the knowledge model, views, process adherence manager, action flows, Process Copilot, Insights Explorer, and Annotation Builder.
Explore the process explorer to visualize actual execution data and the most common start and end activities. Filter with charts and tables to investigate attributes and identify rare activities.
Interpret case numbers in the process explorer by tracing activities and connections, identifying the receive order as a common activity, and using predecessor and successor analysis.
Explore predecessor and successor activities in Process Explorer, using Cases Come From and Cases Go To tabs to trace journeys from send quotation to receive order and confirm order.
Add or remove activities and corresponding connections in the process explorer to adjust process coverage. Review KPIs and attributes such as vendor and department to identify root causes.
Explore the variant explorer to analyze how a process flows, compare and superimpose multiple variants, and use throughput time metrics to identify undesirable paths in real time.
Explore process variants with the variant explorer, highlighting the most common six-activity variant from receive order to clear invoice, and how activities, connections, and percentages describe case paths.
Compare process variants quickly by superimposing them in Variant Explorer, switch to list view to select multiple nonadjacent variants, and drag selectors to reveal insights.
Explore how the approve credit check in the variant affects throughput time between activities, using the median KPI to show it takes 4 days longer to reach the confirm order.
Filter process variants by selecting an activity and opening a panel with options to filter on cases: with, without, starting, and ending; apply same to activity connections to narrow variants.
Explore the spaghetti diagram in process mining by selecting all variants to reveal the full process and understand complex, sometimes overwhelming flows.
Create and compare process models by adding the Process Explorer and Variant Explorer to a blank sheet, then preview and interact with them as an end user would.
Master process mining fundamentals on the Solonis platform, navigating the Process Explorer and Variant Explorer with confidence. Advance to level 2 with deeper analytics and hands-on practice.
This course provides a practical introduction to Celonis Process Mining, focusing on how organisations use real execution data to understand, analyse, and improve their business processes. You will learn how process mining works in practice, how data is transformed into process views, and how Celonis enables analysts to identify inefficiencies, deviations, and improvement opportunities based on facts rather than assumptions.
By the end of the course, you will understand how to use Celonis, and its modules - Studio, Apps, Action Flows, Transformation Hub and more. We will learn how to interpret process mining results correctly — how to read process flows, analyse variants, and translate insights into concrete improvement actions.
This course is ideal for business analysts, process consultants, transformation teams, and anyone involved in operational excellence or digital transformation who wants a clear, tool-based introduction to process mining using Celonis.
Check the practice quiz after each section to test your new knowledge!
Upon completion of the course, you will receive a Certificate of Completion recognising their foundational skills in Celonis process mining.
This is our Level 1 course, focused on introducing the fundamentals of process mining and the Celonis platform. In the Level 2 course, we go deeper into more advanced analytical techniques in Celonis.
This course uses artificial intelligence only to emulate my voice for voice-over narration.
Lia and Team