Apromore Blog Post
Apromore positioned as a Leader in 2023 Gartner® Magic Quadrant™ for Process Mining Tools


Press Release: March 28, 2023 

Process mining vendor Apromore announces that Gartner has positioned the company in the Leaders Quadrant of the 2023 Gartner Magic Quadrant for Process Mining Tools. Apromore was evaluated as a Leader based on its Ability to Execute and Completeness of Vision in this inaugural Magic Quadrant report. 

Apromore has also been recognized as a Representative Vendor for three years in a row in the Gartner Market Guide for Process Mining*, but this is the first time Gartner has evaluated Process Mining in a Magic Quadrant report. 

“We welcome this recognition and believe it to be a testimony of the business value that our customers are deriving from using Apromore to drive their digital transformations based on facts, rather than perceptions,” stated Marcello La Rosa, Co-Founder and CEO of Apromore. La Rosa continued “For the team at Apromore this recognition is just the beginning. Having recently raised a successful Series B round led by Salesforce, we will continue to realize our vision of process mining becoming an everyday technology, for everybody in every organization.” 

“We are glad to be recognized, which we see as a steppingstone in our long-term commitment to foster a value-driven approach to process mining and to bring to the market innovations informed by cutting-edge research,” added Marlon Dumas, CPO of Apromore. “We strive for our differentiators, including our no-code approach to process mining, our support for instantaneous discovery of process models for interactive analysis, and the advanced analytics capabilities embedded in Apromore, including predictive monitoring, scenario testing, and simulation,” continued Dumas. 

In the report Gartner states that “Process Mining tools are designed to discover, monitor and improve processes by extracting knowledge from events captured in information systems to continuously deliver visibility and insights”. They go on to say that “Process mining includes automated process discovery (i.e., extracting process models from an event log), conformance checking (i.e., monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, model extension, model repair, case prediction, and history-based recommendations”.  

Gartner states that Process mining tools must include the following features:  

  • Process models and analysis — Models of processes, exceptions, and process instances (mostly referred to as “cases”), and employee interactions — automated discovery of process models, exceptions and process instances, together with basic frequencies and statistics. 
  • Journey models and analysis — Support for customer interactions, customer journey maps and related analysis — automated discovery and analysis of customer interactions, as well as alignment with internal processes. 
  • Comparative process mining — Conformance/compliance-checking and gap analysis capabilities — capabilities to check conformance and compliance, not only graphically through overlays, but also through data analysis and performing gap analysis. 
  • Process model enhancement — Intelligent support for process model enhancement — enhancing or extending existing or a priori process models by using additional data from the recorded logs and events. 
  • Data access and preparation — Data preparation and data quality, data integration, supporting big data — different ways to handle data. 
  • Business activity monitoring and management — Real-time dashboards with support for key performance indicators (KPIs) that are continuously monitored and enable decision support — real-time or near-real-time connections to continuously monitored and adapted KPIs in dashboards for specific roles in the organization. 
  • Advanced process analysis — Predictive analysis, prescriptive analysis, scenario testing and simulation — advanced process analytics capabilities that use contextual data. 
  • Task mining — Inferring useful information from low-level event data available in UI logs. These UI logs describe the single steps within a task done by a user, for example, in using a workstation, based on keystrokes, mouse clicks and data entries. 

For the 2023 Gartner Magic Quadrant for Process Mining Tools, Gartner evaluated 15 vendors based on a specific set of inclusion criteria, while also identifying a further 10 vendors that did not meet all the inclusion criteria.  

*Gartner, Market Guide for Process Mining, November 11, 2021. 

Gartner Disclaimer 

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

About Apromore    

By providing an easy-to-use, fast-to-deploy process mining solution, Apromore enables business teams to quickly visualize and analyze their business processes to unlock value in existing processes or identify strategies for transformation or optimization. The result of over a decade of extensive research and innovation from leading universities, Apromore’s mission is to help organizations maximize value from their business processes by leveraging the full potential of process mining. For more information, visit https://apromore.com   

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