Lugo, Spain, 27/03/2023 – Inverbis Analytics, a leading provider of process mining software, is pleased to announce that they have been recognized as an Honorable Mention in the first Magic Quadrant for Process Mining Tools, published in 2023 by Gartner.
The Gartner Magic Quadrant for Process Mining Tools (1) evaluates vendors on their Ability to Execute and Completeness of Vision.
“We are thrilled to be recognized by Gartner,” said Gonzalo Martin, CEO of inVerbis Analytics. “Our team has worked tirelessly to develop a process mining solution that is simple and easy to use for our customers. To us, being recognized as an Honorable Mention in this Gartner’s Magic Quadrant for Process Mining Tools is a testament to our commitment to innovation and customer success.”
Inverbis Analytics’ process mining software is designed to help organizations identify inefficiencies and optimize their business processes. The platform uses advanced algorithms and machine learning to analyze data from multiple sources, including enterprise resource planning (ERP) systems, customer relationship management (CRM) software, and other business applications. It also has a strong focus on E2E process analysis, providing features that integrate data from different sources to facilitate the discovery of processes that cross different systems.
With Inverbis Analytics, customers can gain a comprehensive view of their processes, identify areas for improvement, and make data-driven decisions to enhance their operations.
“As the process mining market continues to grow, we are excited to be at the forefront of innovation in this space,” said Gonzalo Martin. “We look forward to continuing to deliver value to our customers and helping them achieve their business goals.”
(1) Gartner, “Magic Quadrant for Process Mining Tools”, Marc Kerremans, Kimihiko Iijima, Andrei Razvan Sachelarescu, Nick Duffy, David Sugden, 20 March 2023.
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About Inverbis Analytics:
Inverbis Analytics is a leading provider of process mining software headquartered in Lugo (Spain) and participated by the University of Santiago de Compostela and Unirisco. Its platform helps organizations identify inefficiencies and optimize their business processes, enabling them to make data-driven decisions that drive growth and efficiency.
For more information, visit www.web.inverbisanalytics.com.