The three phases of Process Mining

Every company wants to be able to track set KPIs and directly measure the effect of decisions taken. Process Mining is ideally suited for this, as it visualises business processes, makes decision-making data-driven and allows results to be tracked. But where do you start? Who do you need? Do you need a Data Scientist? No worries, we take you through the three phases of Process Mining:

  1. Applicability: Problem, data and resource availability
  2. Dates and discovery: Process flow modelling, validation and browsing
  3. Progress: Translate interpretation into improvements, implement improvement and KPIs


  • Start the first time with a clear problem or process. There is no need to immediately link all your business processes to a Process Mining tool. Pick one process you would like to take a critical look at.
  • Involve the right people from within your organisation or outside. Get a stakeholder who sees benefit in Process Mining, a process owner and capacity in your IT department for connection and modulation.
  • Check the data for the presence of event logs, description of activity and unique ID. These three conditions are needed to track your process properly. When linking multiple sources, a unique key is required. The links are modulated at a later stage.
  • Make sure the Process Mining software can access the data. This can be through a real-time connection or incremental loading. You can often choose between a cloud or on premise solution for this.
  • Set realistic expectations based on available data and the scale of the problem.

Dates and discovery

  • In this phase, the process is formed. You elaborate the process model by making all events recognisable. Once all events are modelled, the Process Mining software can retrieve and process the data.
  • Depending on the software you use, initial insights are automatically created in a split second. Cross-sections in time and all possible flows in the process become visible. Validate what you see by browsing through the data and checking cases in the backend systems.
  • Play with the different cross-sections and zoom in on your process, be amazed at the first insights. The first inefficiencies and long lead times become immediately apparent.


The treasure hunt can begin. At attribute and case level, analyse the different cross-section such as time, numbers and zoom in on the process flow. Think about what other insights you would like to have and set your own conditions.
Interpret the insights and translate them into improvements. Work out your process improvements and implement the improvements. Reduce lead time and remove inefficiencies from your process. Process Mining is thus a great complement to the analysis phase in Lean Six Sigma.
Depending on the software you use, you have the option to create your own dashboards. Set KPIs and create a dashboard to track your improvements.

If the data is in order along with the right people, you can have the first results insightful within a day!

Solving lead times and inefficiencies within your organisation? Sign up for a free demo!

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