LANA – Intelligent Process Mining
The number 1 in manufacturing, at home in every industry.
Transform strategically. Implement smartly. Optimize sustainably.
„LANA Process Mining is the ideal tool for Interroll Holding GmbH to support our continuous improvement process with tangible data. The insight that the software offers after just the first analysis is extremely valuable for the entire operation.”
Jürgen Wik, Head of Production Systems, Head of Global Kaizen, Interroll Holding GmbH, Wermelskirchen
The best solution for production processes
LANA Process Mining brings complete transparency into complex processes in a simple and intuitive way. LANA uses Machine Learning to help you minimize downtime and capital commitment and make variant diversity easier to manage. The tool thus offers the perfect solution for holistically optimized processes in production processes as well as in logistics and controlling.
Optimized Accounting from O2C to P2P
With LANA, resources can be saved in a targeted and effective manner. Especially in the areas of purchasing and fulfillment there are often hidden additional costs that remain hidden without process transparency. LANA Process Mining provides the necessary insight to save unnecessary additional costs – efficiently and sustainably.
Smart analyses in every industry
Transparency and excellence are universal. LANA Process Mining can therefore be integrated into any system and applied to a multitude of different processes, regardless of the industry. From controlling at energy providers to customer service in telecommunications, LANA’s machine learning algorithm increases the optimization potential of all data-supported processes.
The innovative upgrade for every IT system
LANA does more than just optimize your processes. Integrate the Process Mining tool directly into your IT system and discover the unlimited potential of the technology. LANA can be integrated as a building block into complex software platforms and linked to existing solutions and systems via its open interfaces.