myInvenio was founded in 2013 in Italy and has been continuously extending its Process Mining solution since. The vendor serves customers across various industries and operates mainly in Europe, US and Japan. myInvenio’s personnel leverages many years of professional experience in the fields of Digital Transformation, Process Management and System Integration. In addition to traditional process discovery, analytics and conformance checking, myInvenio’s Process Mining solution offers elaborate functionalities such as Simulation, Decision Rule Mining, Task Mining and the capability to analyze multi-level processes. All of these capabilities intend to compose a Digital Twin of an Organization (DTO) that derives a precise and dynamic virtual process model with the aim to give businesses a low-cost and fail-fast approach for continuous improvement initiatives.

Tool Name
myInvenio Srl (Reggio Emilia, Italy)
Company Size
11-50 employees
Free Trial
Upon request
Academic, Commercial
, On-Premises
Embedded In
Tested Version
1.9.5 (SaaS) - Tested in 04/2020
Data Management
Import File Types
Supported file types can be uploaded in compressed format
Database Connections
Oracle, AS/400, JDBC drivers
SAP ECC and S/4HANA, Oracle JD Edwards, Oracle EBS, SalesForce, Marketo, Netsuite, JIRA, SugarCRM, ServiceNow
SAP and Oracle connectors support: Order to Cash (with Accounts Receivable), Procure to Pay (with Accounts Payable)
Integrated ETL Functionality
Data Anonymization & Pseudonymization
Not included in the tool, but part of the implementation
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
Character Encodings
UTF-8 compatibility tested with special characters and various languages: Korean, Japanese, Trad. & Simplif. Chinese, Hebrew, Arabic, Russian
UTF-8 (verified
), ISO 8859-7 (Greek)
Attribute Types
, Event-level
Specify Business Hours
Working week
, Multiple shifts/day
, Exclude days
, Holiday calendar
Monday-Friday fixed (business hours can be only defined for the whole working week); weekends can be excluded
Define Event Order
Manual definition of event ordering in case of identical timestamps. This criterion does not consider automatic ordering by the tool.
Start/End Timestamp
2 timestamps
Process Discovery
» Process Graph
As-Is Process Visualization
Directly-Follows Graph (horizontal, vertical), BPMN
Export As-Is Process Graph
For data exports (e.g. CSV) see “Export Reports” criterion
SVG, XES, XPDL 2.1, BPMN 2.0
BPMN export offered as generic and vendor-specific type
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
, Filter
Graph Abstraction
Frequency Metrics
Activity frequency, Rework metrics
Time Metrics
The term “duration” is used when both active and waiting/idle times can be displayed
Min/max/avg/med duration
Additional Graph Metrics
Cost metrics
, Custom metrics
» Process Analysis & Analytics
Process Benchmarking
Visual comparison
, Metric comparison
Process Benchmarking (Different Logs)
Visual comparison
, Metric comparison
Root Cause Analysis
Variant Breakdown by
“Duration” refers to the case throughput time
Case count, avg duration, custom attributes
Case and Activity List
Activity List
, Case List
, Case List for Variants
View Case Details
Rework Analysis
Pre-configured activity rework widget available; rework can also be detected through filtering
Edge/Transition Details
From-to activities: List of ingoing and outgoing activities for any selected activity
List of all transitions
, From-to activities
Conformance Checking
Compare As-Is and Target Process
Target Model Creation
Import model
(BPMN, XPDL), Auto-create from as-is
, Create new
In-Graph Conformance Visualization
List of Compliance Violations
Four-Eyes Principle
Sequence Filtering
“(Not) Directly followed by” filtering
Conformance Root Cause Analysis
Operational Support
Alert Generation
Predictive Analytics
Recommendations (Prescriptive Analytics)
Advanced Enhancement Capabilities
Organizational Mining
Scenario Simulation
Decision Rule Mining
Views, Monitoring and Reporting
Export Reports
Events (CSV), Cases (CSV), Variants (SVG, XES, BPMN 2.0, XPDL 2.1)
Export Charts and Tables
Tables can be exported as CSV
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, Italian, Dutch, German, Japanese
Share & Collaborate
Share selection
; Share dashboards, BPMN models
Security & Compliance
Role-Based Access
User Authentication
Basic; 2FA (authentication app); LDAP and SSO via SAML 2.0
Audit Logs

Distinctive Focus and Features

  • Multi-Level Process Mining: myInvenio is capable of handling multi-level event logs for complex processes containing entities with many-to-many relationships, such as Procure to Pay (P2P) and Order to Cash (O2C). Users can map several derived processes within a single comprehensive model for end-to-end visibility without biased or misleading statistics, solving the limitations faced by traditional Process Mining techniques.
  • Decision Rules Miner: This advanced Process Enhancement feature automatically discovers business rules based on event log data and adds them to the BPMN model. The discovered rules help the user understand why the process is following a specific route.
  • Simulation Engine: The sophisticated simulation feature executes the to-be process by analyzing what-if scenarios to identify the expected ROI and the impacts of process changes on the overall process. Activity-related settings include resource allocation, use of RPA bots as well as different active and waiting times. The model takes into consideration contextual data such as business rules to improve the accuracy of its results. Furthermore, the analysis considers varying business hours and modified BPMN models.

I’m a vendor. Submit a change request.

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.

Click to enlarge

Tap to enlarge

Appetite for an additional visual impression of myInvenio?

Keen on exploring more

Process Mining tools?

Have a glance at the features and capabilities of other tools.