Compare LANA Process Mining vs. Software AG ARIS Process Mining

LANA Process Mining is ranked 8th in Process Mining while Software AG ARIS Process Mining is ranked 5th in Process Mining. LANA Process Mining is rated 0, while Software AG ARIS Process Mining is rated 0. On the other hand, LANA Process Mining is most compared with Celonis, whereas Software AG ARIS Process Mining is most compared with Celonis.
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Ranking
8th
out of 11 in Process Mining
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36
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27
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0
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5th
out of 11 in Process Mining
Views
270
Comparisons
182
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
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Lana Labs
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Overview

The number one in manufacturing
The simple solution for complex processes. LANA’s Machine Learning algorithm minimizes downtime and capital commitment. The result: Leaner processes, faster lead times and more efficient logistics.

Efficient purchasing. Effective fulfillment.
From order-to-cash to purchase-to-pay: LANA makes costs and bottlenecks transparent. The automated target/actual comparison directly identifies unwanted risks. This keeps you smart in your strategy and secures your competitive advantage in the long term.

The upgrade for your systems.
LANA as a technological investment: Use the open interfaces and rely on our highly scalable architecture to integrate Process Mining into your own software solutions.

Increasing digital products and services, new business models, challenger brands and competitors emerging virtually overnight—all are forever changing your market. To survive, your company—no matter its size or industry—must rethink your business models and processes. Problem is, with so many players and parts to your enterprise, where should you begin? How can you see where to optimize processes to improve the customer experience or operational efficiency? Should you rethink distribution of resources, or start first with improving processes for a specific region or product?

Find your answers with ARIS Process Mining at Software AG. With a 360-degree view of your processes, you’ll gain intelligent insights into your processes and their dependencies to find patterns, anomalies and opportunities for improvement. Compare processes in theory to processes as they are in the real world. See if processes execute as designed. This gives you a solid basis for making process improvement decisions. You can evaluate changes before making them to avoid added costs later on—and you can simulate and analyze process scenarios so you know the best way to improve them.

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