Software Alternatives & Reviews

LANA Process Mining VS StereoLOGIC Process Analytics

Compare LANA Process Mining VS StereoLOGIC Process Analytics and see what are their differences

LANA Process Mining logo LANA Process Mining

Lana Labs accompanies you on the first steps towards process excellence. With LANA Process Mining you optimize automatically. Intelligent. Fast. Effective.

StereoLOGIC Process Analytics logo StereoLOGIC Process Analytics

StereoLOGIC will help you to visualize and document business processes - what your employees do, delays in operations, weak spots and help to optimise them.
  • LANA Process Mining Landing page
    Landing page //
    2023-08-27
  • StereoLOGIC Process Analytics Landing page
    Landing page //
    2023-05-23

Category Popularity

0-100% (relative to LANA Process Mining and StereoLOGIC Process Analytics)
Business & Commerce
48 48%
52% 52
Office & Productivity
49 49%
51% 51
Tool
52 52%
48% 48
Business Process Management

User comments

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What are some alternatives?

When comparing LANA Process Mining and StereoLOGIC Process Analytics, you can also consider the following products

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

Minit - Minit is a software that automatically analyzes processes and provides actionable visual insights for improving revenues, savings and efficiency.

Process Mining - What is Process Mining? | Celonis Intelligent Business Cloud | Process Mining Software | Enterprise Performance Acceleration | Meet the world's #1 Process Mining platform: Discover, enhance, and monitor business processes and achieve process excelle…

Signavio Process Intelligence - Signavio Process Intelligence takes your data and turns it into actionable insights for your organization. Learn more with a free, personalized demo!

QPR ProcessAnalyzer - QPR ProcessAnalyzer extracts and reads the timestamps used to record specific events along procurement and/or supply chains.

PAFnow Process Mining - A powerful visual to analyze your business processes based on event data