Businesses use process mining and process modeling to discover, measure and improve their processes. The Google Trend graph above shows how process mining has been replacing process modeling in Google Search since 2008. Business leaders and analysts, on the other hand, may not even be aware of how these two tools differ. As a result, it becomes difficult to decide which tools to chose while analyzing business processes.
In this light, this research compares process mining with process modeling and provides recommendations to help business leaders make data-driven decisions when choosing the right tool that fits their business needs.
Process Mining vs Process Modeling
Process modeling and process mining are business process management (BPM) forms.
Process mining is the discovery and improvement of business processes and workflows by extracting and analyzing the event log data to identify trends, deviations and errors and to generate and compare models with each other.
|Does the solution use AI/ ML?
Applies ML algorithms for automatic extraction, analyzing and modeling the process data
|Applies ML algorithms for visualizing the process data
|What are the end-goals for the tool?
1. Generates process models, 2. Compares idealized workflows and operations against existing models, 3. Modifies existing models, 4. Simulates potential process changes with a DTO
|1. Generates process models
|What are the benefits the tool offers?
1. End-to-end understanding of workflow, 2. Enables process improvement, 3. Facilitates automation, 4. Helps assess process performance and model accuracy
1. End-to-end understanding of workflow, 2. Enables process improvement, 3. Facilitates automation
Recommendations for choosing process mining or modeling
1. Process mining as automation enabler
Both process mining and modeling tools bring visibility to your processes and ease the discovery of automation opportunities. However, process mining tools offer more functionalities than process modeling for automation implementation.
For example, some process mining software can generate a digital twin of an organization to run hypothetical models by implementing changes in processes and measuring the expected ROI. They also allow users to track the entire automation project flow and assess the performance of the automated processes, which is not the case for process modeling software.
2. Process mining for comparison and contrasts
If you have existing models, for the internal rules or general regulations that you want your processes to comply with, you should start reviewing process mining tools.
Process mining conformance check enables users to compare their existing processes against rules, regulations, existing models, and pre-defined process KPIs, to identify deviations and errors in order to modify and standardize them. Recently, some process mining software have included automated root-cause analysis that have enabled users to determine the main factors behind these issues.
However, you could also pair both process mining and modeling to benefit from them: You generate a reference model in process modeling, and then upload it to process mining software, to compare the reference model against the model discovered from the real-life data.
3. Process modeling for an easy process management
If you want to have accurate and objective process models that are also easy to use, process modeling is the business process management form you should choose.
Process models are helpful to transform abstract workflows into images that use standardized symbols, such as arrows and triangles. Therefore, they are mostly easy to interpret and use for every employee without the help from an expert, explaining the models.
Typically, process mining tools might require some time for employees to adopt and utilize them fully. In such situations, we recommend to get help from consultants during the initial phases of employing process mining or deploy process mining as a service to benefit from expert help along with other benefits.
4. Combine process mapping for qualitative aspects
If your business want to understand business processes from both qualitative and quantitative aspect, you can combine process mining or modeling with process mapping.
Both process modeling and process mining offer quantitative and objective process illustrations, because both leverage event logs data to discover process trends. Both tools are capable for several use cases mentioned above. Yet, they both fail to capture and analyze qualitative data.
There are different methods to capture and discover business processes such as internal workshops and interviews. Process mapping visualizes processes by identifying activities, people, resources and systems involved based on such qualitative data.
If you are interested in process improvement and automation tools such as process mining and modeling, feel free to read more on the subjects:
And if you need guidance to find the right vendor, let us talk to you:
Next to Read
Your email address will not be published. All fields are required.