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”.

Tool Name

LANA Process Mining

Vendor

Lana Labs GmbH (Berlin, Germany)

Company Size

11-50 employees

Free Trial

Upon request

Licenses

Commercial

Deployment

SaaS

, On-Premises

Embedded In

–

Tested Version

4.4.1 (Cloud) - Tested in 06/2020

Import File Types

CSV

Database Connections

JDBC drivers, ODBC drivers

PostgresSQL, MSSQL, SAP HANA, Oracle

Adapters/Connectors

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

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.

Event sorting possible in data preprocessing

Start/End Timestamp

2 timestamps

» 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

BPMN, PDF, SVG

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, 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

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

Alert Generation

Predictive Analytics

P2P payment prediction, M2C cancellation prediction

Recommendations (Prescriptive Analytics)

Organizational Mining

Scenario Simulation

Decision Rule Mining

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

Role-Based Access

User Authentication

Basic

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”.

Explore LANA Process Mining

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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