Disco

Founded in 2009 by Dr. Anne Rozinat and Dr. Christian W. Günther after their Ph.D. in the process mining group of Prof. Wil van der Aalst at the Technical University in Eindhoven, Fluxicon has been at the forefront of the process mining movement ever since. After their work on the academic process mining tool ProM, their Process Mining software Disco was developed from scratch with the goal to make Process Mining accessible for business users. Disco’s framework is based on proven scientific research and it has been in use in various industries with use cases like customer journey analysis, audit, process improvement and optimization. The tool allows an easy and flexible discovery of processes with its visualization and filtering capabilities. Fluxicon also organizes the annual Process Mining Camp, has written the “Process Mining in Practice” book that defines the process mining methodology for practitioners, and supports close to 700 universities through the Fluxicon Academic Initiative.

Tool Name

Disco

Vendor

Fluxicon BV (Eindhoven, Netherlands)

Company Size

1-10 employees

Free Trial

Immediate access

Licenses

Academic, Commercial

Deployment

Standalone

Embedded In

–

Tested Version

2.4.0 (March 2020 Release) - Tested in 04/2020

Import File Types

CSV, TXT, XLS(X), MXML, XES

Some of the supported file types can be uploaded in compressed format

Database Connections

via Airlift API

Adapters/Connectors

via Airlift API

Integrated ETL Functionality

Data Anonymization & Pseudonymization

Approach: Selected columns can be hashed upon export, and reimported as pseudonymized log data

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

Disco is focused on the process mining analysis use case and is not meant to be automated (the user can trigger an import of fresh data and re-use previous analyses anytime)

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

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 (vertical)

The Disco miner has been further developed based on the Fuzzy miner and does include parallelism.

Export As-Is Process Graph

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

PDF, PNG, JPG, XML

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, Max. repetitions, Start/end activity frequency

Time Metrics

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

Tot/min/max/avg/med duration

Additional Graph Metrics

Cost metrics

, Custom metrics

» Process Analysis & Analytics

Process Benchmarking

Visual comparison

, Metric comparison

Processes can be compared visually by including the compared dimension in the activity name

Process Benchmarking (Different Logs)

Visual comparison

, Metric comparison

Root Cause Analysis

Variant Breakdown by

“Duration” refers to the case throughput time

Case count, event count, avg/med duration

Case and Activity List

Activity List

, Case List

, Case List for Variants

View Case Details

Rework Analysis

Different rework analyses are possible, including the filtering of direct and indirect loops, the filtering of cases that contain any type of rework, and the visualization of repetition hotspots

Edge/Transition Details

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

List of all transitions

, From-to activities

via export of transitions as a matrix

Compare As-Is and Target Process

Disco supports comformance checking by checking process rules in various dimensions (e.g. control flow, variant-based, first time right, SLA-based, via attributes)

Target Model Creation

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

Process maps and metrics can be exported to external simulation tools via XML

Decision Rule Mining

Export Reports

Events (CSV, XES, MXML), Cases (CSV), Variants (PDF, PNG, JPG, XML)

Export Charts and Tables

Charts are exported without axes

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

Share & Collaborate

Share selection

; Project export; Filter settings sharing

Role-Based Access

N/A (Standalone)

User Authentication

N/A (Standalone)

Audit Logs

N/A (Standalone)

Distinctive Focus and Features

Easy-to-use desktop software: Disco is a simple and easy-to-use Process Mining desktop software (no “implementation project”) that can be run locally or in virtualized environments. The tool is suitable for interactive use in workshop sessions with process stakeholders due to its intuitive visualizations and high speed.
Analytical flexibility: Disco is able to simplify complex and heterogeneous process maps in an interactive way. The tool is based on the scientifically proven framework of the Fuzzy Miner and has been further extended to a fast performing algorithm, taking into account years of experience in practice and user testing. Furthermore, Disco provides various filter types such as four-eyes check, SLA-based filtering and variant filtering, which can be applied in any use case.
Data privacy: Privacy is guaranteed due to the local analysis of IT log data, which ensures that confidential data remains in the organization.

Explore Disco

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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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