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Using transactional data recorded by the IT systems in your organization, process mining can automatically discover and visualize your business processes.

You may have an idea of what staff should be doing in your business, but what are they actually doing? Discovering how your business operations conform to what your operating model expects, can deliver some very real surprises and benefits.

To help organizations accelerate their adoption of a DTO and capture their operational model, Holocentric is partnering with the University of Melbourne’s School of Computing and Information Systems, to include process mining as a crucial step in our Discover | Design | Deliver DTO solution.

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Through the Apromore Initiative, the University of Melbourne is our partner of choice

Read more on our blog on Process Mining.

An example of a business process model discovered by the Apromore process mining tool and visualized in the BPMN notation

An example of a business process model discovered by the Apromore process mining tool and visualized in the BPMN notation


Make decisions based on fact not fiction

Solve your business operation problems with process mining
  • See organization performance in real-time
  • Identify process inefficiencies, duplicated processes and bottlenecks
  • Ensure compliance obligations are met
  • Analyze and improve customer experience
  • Identify and address the root causes of unfavorable business outcomes

Process Mining works with actual data to determine the paths that transactions take
  • Understand your processes as “they really are”, not as you “perceive” them to be
  • Back your hypotheses with evidence, not just intuition
  • Simulate the future to identify what requires change and what does not!
Download The Process Mining Brochure

Getting started with Process Mining

Below is a sample plan, showing some of the steps you could do in a process mining project. Let’s say you want to implement a new customer experience. You have a number of offices or branches across the country and you want to see what your staff or customers are actually doing, not what they say they are doing. Start by:
  1. Selecting a small number of branches or teams (5 – 10) as pilot sites.
  2. Select users (find some eager to change) working on actual customer cases. Measure the time spent on specific processes and monitor the activities.
  3. Measure the activities – errors, delays, rework, duplication, complaints, completed transactions.
  4. Use a process mining engine, such as Apromore to automatically detect and report errors and delays that have occurred. Document those errors and delays.
  5. Create a test environment in a process model and perform a Root cause analysis.
  6. Record the detailed information of the error:
    • Detailed Process Flow
    • User Activity where the Error / Delay occurred
    • Time when it occurred
    • Screen transition response times
    • The step sequence between errors and process activities causing them
    • Screen for each User Activity

The progress is reflected in daily reports and forms the baseline for improvements. Now you have a picture of what is actually happening. You can model a change to the process through our business management system and then compare it to its digital twin. Together these approaches will highlight new ways of working, new efficiencies and create a better customer experience.


What analysis can tell you

  • Deviance from expected paths – identifying alternate process paths that are followed
  • Time taken to perform processes – based on logged times for each of the process steps
  • Conformance – whether processes follow prescribed paths to meet compliance obligations
  • Process diagrams – can be automatically constructed from the logs of process steps
  • Frequency – how often alternate paths are performed
  • Bottlenecks – identification of critical paths and potential blockages
  • Re-work – identification of paths that result in repeated activities and inefficiencies
  • Potential improvements – paths that are followed that result in greater effectiveness than planned
Source: Fundamentals of Business Process Management, Springer 2nd edition, 2018

Source: Fundamentals of Business Process Management, Springer 2nd edition, 2018


Learn more about Process Mining