Scaling Process Mining

Name: Scaling Process Mining
Rating: 4.4 (34 reviews)

Advanced Process Mining Techniques for Optimized Workflows and Strategic Decision-Making

Created byDennis Arrindell

Last updated 12/2025

English

English [Auto],

What you'll learn

Gain comprehensive insights into the strategic advantages and capabilities of enterprise-level process mining solutions.
Understand the techniques and best practices for scaling process mining technology to meet organizational needs.
Get a framework for implementing process mining at scale
Learn how to leverage data pipelines and action flows

Course content

4 sections • 24 lectures • 1h 24m total length

Process mining in the context of the history of process management6:14
Trace the history of process management from the division of labor and scientific management to lean manufacturing and Six Sigma, then explore how cloud computing enables process mining at scale.
Scaling process mining defined2:23
Scaling process mining defines scalability as a system’s ability to adapt to increased workload, empowering many processes and people. Enable objective monitoring, analysis, and digital twins of organizational processes.
Why use Celonis to scale process mining8:14
Celonis dominates process mining and democratizes access with the Salinas free plan, enabling hands-on practice for anyone, anywhere, while linking insights to automated workflows to continuously address bottlenecks.
Is your organization ready to scale process mining? (Data maturity)4:25
Evaluate your data maturity across people, process, technology, and data to decide if your organization can scale process mining, which requires stage four or five maturity.

Introduction to custom calculated metrics1:54
Learn to create custom metrics in Celonis snap, enabling relative measures like percentages in your process map. Use Pxl, the process query language, to write tailored calculations similar to SQL.
Calculating the percentage of activities (Theory)2:18
Calculate the percentage of total events per activity by counting events per activity and dividing by total events in the event log, using Celonis PQL with count, global, and count_table.
Get the Process Query Language (PQL) statements here0:21
Calculating the percentage of activities (Practice)5:12
Create a custom KPI named percentage of activities, use the query builder to define its formula, switch to percentage format, and view resulting KPI values on the process map.
Selecting columns to add to the query builder1:40
select columns in the query builder by clicking table and choosing a column, then add it to create the fully qualified name for performing calculations, and easily add more columns.
Calculating the percentage of cases (Theory)2:30
Learn to calculate the percentage of total cases for each activity using the distinct count function on the unique case identifier, and implement the corresponding PQL statement.
Calculating the percentage of cases (Practice)4:42
Create a key performance indicator to display the percentage of total cases in a process map, using distinct counts and process explorer settings, and verify with filters.
Creating custom metrics for paths/ connections2:39
Create custom KPIs for process paths and connections by switching to connection KPIs, defining source and target in the formula, and using percentage metrics.
Improved analytical insights due to custom metrics5:48
Apply custom metrics from process mining to show how website order forms and incomplete addresses trigger customer calls and throughput time.
Creating custom KPI's using the visual PQL editor8:34
Create a monthly KPI for website orders followed by customer calls with the visual PQL editor in Celonis, and compare with the code editor for the same metric.
Why PQL is superior for process-oriented data questions5:17
Learn why Pql is process oriented and distinct from SQL, R, or Python for process oriented questions, using process flow selection and case keys to reveal the power of BCL.

The Business Case3:31
Learn how to apply process mining with Celonis EMS to detect 20-minute cart-to-cancel delays using a knowledge model, KPIs, and automated alerts.
Exploring the Celonis EMS interface2:01
Explore the Celonis EMS interface to access process analytics, focus on the knowledge model, and configure KPI, records, and triggers.
Create a record4:35
Create a record with a unique case ID and a minutes KPI, save it, define an identifier from the case key, and add the attribute 'card to cancel minutes'.
Create a trigger4:56
Create a trigger from a record using a KPI filter on cart to cancel, with Pql statement, adjust KPI formula, and publish trigger as module in Action Flow Development Studio.
Explore the Action Flow editor2:40
Explore the action flow editor by connecting a pre-configured trigger with modules like Gmail, BigQuery, and Slack to build a data pipeline and automate actions with flow controls.
Test the Action Flow2:37
Test the action flow by sending a sample trigger to activate the process (KPI > 20 minutes), run it, and verify the Slack bot message is received.
Conclusion1:12
Learn to create action flows in Celonis and transform process mining insights into actionable interventions, leveraging modules, instruments, routers, and knowledge models for process optimization at scale.

Requirements

Basic knowledge of Process Mining with Celonis
A computer with access to the internet, as we will be using (online) applications in the cloud

Description

Are you ready to take your process mining skills to the next level? The course "Scaling Process Mining" is here to equip you with the knowledge and techniques required to deploy process mining on a larger scale.

Process mining is the bridge between data mining and business process modeling, presenting a world of unique challenges and opportunities. This comprehensive course unravels the complexities and immerses you in audiovisual content curated from industry experts.

This course emphasizes the theoretical foundations of process mining at scale, exploring its core principles, methodologies, and frameworks. By understanding these underpinnings, you'll gain deeper insights into how process mining integrates with data science and business operations. This knowledge equips you to approach real-world challenges with a robust, well-rounded perspective and expertise.

By enrolling in this course, you'll transcend mere tools and technologies. This course will guide you in synthesizing diverse components like IT skills and business acumen, providing you with a holistic understanding of process mining advancements.

Don't miss out on becoming a valuable asset to leading organizations that are embracing process mining at scale. Take the first step today and unlock the future of business optimization.

This course goes beyond practical application to address the strategic implications of process mining at scale. You’ll learn how to evaluate business processes, identify optimization opportunities, and leverage process mining insights to drive innovation and efficiency. With these skills, you’ll be prepared to lead transformative projects in any organization.

Are you ready to scale your expertise? Let's embark on this transformative journey together!

Who this course is for:

This course is tailored for professionals who are well-versed in the fundamentals of process mining and are fully committed to leveraging this transformative technology for groundbreaking advancements in business process management.

Scaling Process Mining

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 21min

Get all learning resources here2 lectures • 1min

Only for Licensed Celonis users: Custom KPI's in Celonis11 lectures • 41min

Action-oriented process mining with Celonis EMS7 lectures • 22min

Requirements

Description

Who this course is for: