myInvenio

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

Vendor

myInvenio Srl (Reggio Emilia, Italy)

Company Size

11-50 employees

Free Trial

Upon request

Licenses

Academic, Commercial

Deployment

SaaS

, On-Premises

Embedded In

–

Tested Version

1.9.5 (SaaS) - Tested in 04/2020

Import File Types

CSV, XES

Supported file types can be uploaded in compressed format

Database Connections

Oracle, AS/400, JDBC drivers

Adapters/Connectors

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

Case-level

, 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 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

Search

, 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

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

Alert Generation

Predictive Analytics

Recommendations (Prescriptive Analytics)

Organizational Mining

Scenario Simulation

Decision Rule Mining

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

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.

Explore myInvenio

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.

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