Celonis Process Mining

Founded in 2011 by three university students, Celonis’ market leading platform (Gartner, 2019) has helped companies achieve process excellence by removing operational friction points with its Intelligent Business Cloud platform. Besides user-friendly process discovery, analytics and conformance checking capabilities, the platform offers a dedicated Transformation Center for KPI monitoring. One of the key strengths is Celonis’ comprehensive approach for process enhancement which includes a Python-based Machine Learning Workbench for predictive insights, an AI-powered Action Engine for intelligent process recommendations and Process Automation to automate workflows. Celonis provides a highly scalable and secure platform, offers various deployment options and supports many databases and systems for data extraction. Celonis recently launched Operational Applications, which are role-based applications that automate tasks, prioritize workflows, and prescribe guidance against target business goals leveraging business context, AI, and the core process mining engine. The vendor is closely cooperating with universities through its Academic Alliance program.

Tool Name

Vendor

Celonis SE (Munich, Germany & New York, NY, USA)

Company Size

1001-5000 employees

Free Trial

Immediate access

Licenses

Free, Academic, Commercial

Separate Enterprise and Consulting licenses available

Deployment

Cloud

, Hybrid, On-Premises

Embedded In

–

Tested Version

Celonis Intelligent Business Cloud - Tested in 04/2020

Import File Types

CSV, XLSX, XES

Database Connections

JDBC drivers, e.g. Postgres, MSSQL, HANA, Oracle and many more

Postgres, MSSQL, HANA, Oracle, IBM DB2, MySQL, Amazon Redshift, SAP MaxDB, Sybase, Azure SQL, Snowflake, Teradata, Amazon Athena, OpenEdge. Some drivers are not provided for On-Premises deployment due to legal reasons.

Adapters/Connectors

Oracle EBS/ERP Cloud/BI Publisher, Salesforce, SAP Ariba/Hybris/ECC/Concur, ServiceNow, UiPath, Coupa, Google Sheets

Integrated ETL Functionality

Data Anonymization & Pseudonymization

Data can be pseudonymized during data extraction or data transformation using a hash algorithm of the SHA1/2 family

Event collection: SQL workbench
Column pseudonymization during data extraction
Data permissions on data model level

Data Loading

Data Refresh: Incremental data loading, appending new data to an existing set of data
Scheduled Jobs = Automatic data loading in defined time intervals

Data Refresh

, Scheduled Jobs

Real-time loading possible with and without delta

Character Encodings

UTF-8 compatibility tested with special characters and various languages: Korean, Japanese, Trad. & Simplif. Chinese, Hebrew, Arabic, Russian

UTF-8 (verified

) + various more encodings

Attribute Types

Case-level

, Event-level

Specify Business Hours

Working week

, Multiple shifts/day

, Exclude days

, Holiday calendar

No country-specific holiday calendar, however holidays can be imported from a given TFACS table

Define Event Order

Manual definition of event ordering in case of identical timestamps. This criterion does not consider automatic ordering by the tool.

By selected column

Start/End Timestamp

2 timestamps

» Process Graph

As-Is Process Visualization

Directly-Follows Graph (vertical)

Export As-Is Process Graph

For data exports (e.g. CSV) see “Export Reports” criterion

BPMN

Performance Highlighting

Visual highlighting of process bottlenecks

Active time

, Idle time

Process Animation (Replay)

Adjust speed

, Adjust timeframe

, Switch time mode

, Zoom in case

Search and Filter in Graph

Search and find activity names (relevant for spaghetti-like graphs)
Filter activities/transitions directly from graph

Search

, Filter

Graph Abstraction

Frequency Metrics

Activity frequency, Case frequency, From-to frequency; Customizable

Time Metrics

The term “duration” is used when both active and waiting/idle times can be displayed

Avg/med/trim med duration; Customizable

Additional Graph Metrics

Cost metrics

, Custom metrics

» Process Analysis & Analytics

Process Benchmarking

Visual comparison

, Metric comparison

Process Benchmarking (Different Logs)

Visual comparison

, Metric comparison

Possible with multi-level event logs

Root Cause Analysis

Variant Breakdown by

“Duration” refers to the case throughput time

Case count, Avg throughput time; Customizable

Case and Activity List

Activity List

, Case List

, Case List for Variants

View Case Details

Rework Analysis

Rework analysis can be tailored with custom dashboards

Edge/Transition Details

From-to activities: List of ingoing and outgoing activities for any selected activity

List of all transitions

, From-to activities

Compare As-Is and Target Process

Target Model Creation

Import model

(BPMN), Auto-create from as-is

, Create new

In-Graph Conformance Visualization

Celonis' conformance checker allows the analysis of violations that can be visualized in the process explorer; the process graph can be filtered by any selected violation

List of Compliance Violations

Four-Eyes Principle

Sequence Filtering

“(Not) Directly followed by” filtering

Conformance Root Cause Analysis

Alert Generation

Predictive Analytics

Available out-of-the-box and can be configured in the Machine Learning Workbench

Recommendations (Prescriptive Analytics)

Organizational Mining

Scenario Simulation

Possible through manual configuration in the Machine Learning Workbench

Decision Rule Mining

Possible through manual configuration in the Machine Learning Workbench

Export Reports

Events (CSV, XLSX), Cases (CSV, XLSX), Variants (BPMN)

Export Charts and Tables

Only in data format

Custom Dashboards

Custom charts

, Custom tables

Custom Metrics/KPIs

KPI Thresholds

Deviation from defined thresholds can be detected through color differentiation

Advanced Charts

Dashboard offers >5 different chart types

World Map

Latitude & longitude coordinates

, Location by attribute (e.g. country codes, city names)

Save Filter Settings

UI Languages

English, German, Japanese, Portuguese, Spanish, Russian

Comprehensive product localization approach

Share & Collaborate

Share selection

; Sharing of workspaces and projects; Task management

Role-Based Access

User Authentication

Basic; 2FA (email); IP-based access restrictions; SSO via SAML 2.0, LDAP or OIDC

Audit Logs

Distinctive Focus and Features

Data Connectivity: Through its JDBC drivers, Celonis Process Mining supports data extraction from various databases such as Postgres, MSSQL, HANA and Amazon Redshift. Pre-built connectors for ERP, CRM and other systems are available as well. Celonis currently offers real-time data extraction from SAP, Salesforce and ServiceNow.
Machine Learning Workbench: The Intelligent Business Cloud (IBC) includes a self-hosted Jupyter Notebook for Python-based creation and deployment of predictive models. Pre-built Python packages for certain use cases are available.
Action Engine: A comprehensive action management assists employees with intelligent recommendations for the “next steps” to achieve a desired process outcome and the ability to directly trigger actions in any system with the click of a button.

Explore Celonis Process Mining

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Disclaimer: The timeliness of provided information is based on the tested version and date as stated under “Tested Version”. No guarantee can be given about the correctness and accuracy of the information contained.

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