Apromore is a collaborative business process analytics platform supporting the full spectrum of process mining functionality. These features are complemented by an authoring environment for business process models, underpinned by an enterprise process model repository.
“Using Apromore has been instrumental to start on the right foot in our journey towards adopting process mining in our organization. It allowed us to focus on value creation for our business and for the whole organization, to develop skills in the process mining discipline and meanwhile to contain costs and effort.”
Head of “Finance: Treasury and FX&MM” at Intesa Sanpaolo Banking Group
From digital traces to fully-optimized processes
Let your data talk! Process mining is all about process improvement for operational excellence, but in a data-driven way. Starting from the transactional data recorded by your enterprise systems, Apromore will reverse-engineer the business processes hidden in your data, and put you in a position to analyze these processes for effective business transformation, following five key steps:
Apromore can be used to drive change and transformation along different performance dimensions, but first and foremost, Apromore gives you the keys to “open” your business operations – to gain that transparency that is key to any operational excellence initiative. Once you have a good grasp of your operations, you can start identifying opportunities for improving productivity along performance dimensions such as efficiency, quality, compliance and risk.
Expose your processes as they really are, not as you may imagine them. Back up your hypotheses with evidence and debunk common myths around your operations.
Uncover bottlenecks and constraints, and quantify their effect on your key performance indicators. Expose your sources of waste and root causes of poor performance.
Detect deviant behavior, compliance violations and potential risks, and assess their impact on your business.
Enhance Customer Experience
Extract actionable insights to improve customer experience. Predict and tune process performance to exceed customer expectations.
Customers choose Apromore because of the following characteristics:
Apromore is the result of over a decade of extensive research and innovation in process mining at The University of Melbourne and several labs across the globe, leading to the most advanced process mining algorithms ever developed.
Apromore is open-source from its roots and supported by a lively community of researchers and professionals around the world. Built upon a robust plugin framework, Apromore can seamlessly be integrated with proprietary systems and custom extensions.
Apromore has been used by leading organizations across a wide range of industries, including finance, healthcare, IT service management, education, manufacturing and logistics.
Apromore’s pricing model is simple and flexible. Designed for companies that wish to build their process mining practice incrementally, it imposes no limitations on the number of processes to be analyzed nor on the number of user accounts.
Whether you are a business professional leading the establishment of a center of excellence in process mining in your organization, a freelance analyst, a consultant, a researcher or a student, we’ve got you covered! Apromore comes in two editions:
The Community Edition is fully open-source and free to use. It includes the Apromore core platform and all the experimental plugins developed by the research community. Use it to try out Apromore’s core functionality and any experimental feature. This version is not maintained nor supported. You can download it and use it without warranties.
The Enterprise Edition is a fully-maintained and supported edition for professional use. It includes performance optimizations, feature-reacher plugins, commercially-licensed add-ons and connectors on top of the open-source Apromore core platform. It is available as SaaS or on-premise. You can test our free trial version, check out our professional services, and contact us to request a demo.