LANA Process Mining

Berlin-based Lana Labs was started by three co-founders with a passion for process optimization and a drive to bring new innovations into the Process Mining market. Years ago, the first innovations included automated conformance checks as well as Machine learning-based root cause analyses. LANA Process Mining is used by customers in various fields, including healthcare institutions, manufacturers and the utilities sector. Besides providing training videos and webinars, Lana Labs maintains a handy public Process Mining glossary. Fun fact: The company supports a colony of Magellanic penguins in Chile and adopts a new penguin for each license sold and each new employee onboarded. The name of the company is derived from their first adopted penguin called “Lana”.

LANA Process Mining
Tool Name
LANA Process Mining
Lana Labs GmbH (Berlin, Germany)
Company Size
11-50 employees
Free Trial
Upon request
, On-Premises
Embedded In
Tested Version
4.4.1 (Cloud) - Tested in 06/2020
Data Management
Import File Types
Database Connections
JDBC drivers, ODBC drivers
PostgresSQL, MSSQL, SAP HANA, Oracle
SAP PI, SAP RFC, Salesforce, Microsoft Dynamics NAV, Manufacturing Execution Systems, REST API, Splunk API
Integrated ETL Functionality
Based on SQL commands
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
Attribute Types
, 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.
Event sorting possible in data preprocessing
Start/End Timestamp
2 timestamps
Process Discovery
» Process Graph
As-Is Process Visualization
Directly-Follows Graph (horizontal, vertical)
Export As-Is Process Graph
For data exports (e.g. CSV) see “Export Reports” criterion
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, Case frequency, Rework metrics, Skips (activities in target model skipped)
Time Metrics
The term “duration” is used when both active and waiting/idle times can be displayed
Tot/min/max/avg/med duration, Target durations (comparison of actual vs. target activity & transition durations)
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, event count, min/max/avg/med duration
Case and Activity List
Activity List
, Case List
, Case List for Variants
View Case Details
Rework Analysis
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), 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
P2P payment prediction, M2C cancellation prediction
Recommendations (Prescriptive Analytics)
Advanced Enhancement Capabilities
Organizational Mining
Scenario Simulation
Decision Rule Mining
Views, Monitoring and Reporting
Export Reports
Events (CSV), Cases (CSV via API), Variants (BPMN, PDF, SVG)
Export Charts and Tables
Charts only
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
Share & Collaborate
Share selection
; Dashboard sharing
Security & Compliance
Role-Based Access
User Authentication
Audit Logs
Upon request

Distinctive Focus and Features

  • “Shiny” dashboards: LANA integrates “Shiny” dashboards from RStudio which allow total customization using R and various components such as HTML widgets and CSS themes. For simple visualizations, native LANA dashboards can be easily configured.
  • Root cause analysis: An algorithm identifies relevant influencing factors and forms rules for the problem causes of process deviations, non-compliant case durations and particular activity sequences.
  • Catering to individual needs: LANA Process Mining can be easily extended with additional functionalities through its open REST-APIs and open source packages “LanaR” and “PyLana”.

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 LANA Process Mining?

Keen on exploring more

Process Mining tools?

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