Process Mapping vs Process Mining in Power BI
in PAFnow | Power BI

Process Mapping vs Process Mining in Power BI

Author: Katharina Laumann, PR Manager and Editor at PAF

A process map is a graphical tool that displays the inputs, actions, and outputs of a process in a clear, step-by-step mapping of the process. The resulting understanding of the process forms the basis for any process improvement. In the past, Process Mapping has been the tool of choice to create such maps, but the method comes with many limitations. Process Mining, as a data-driven method, provides answers to the limitations of Process Mapping while also being significantly faster. But what are the differences and similarities between the two methods?

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Process Mapping

Process Mapping uses the accounts of the people involved in a process to manually create a picture of the process steps in the order in which they are executed. Generally, Process Mapping assumes that the process is straightforward and that the people involved in the process have a comprehensive understanding of what is happening.

However, in reality, it is not that simple.

Without any malicious intent, Process Mapping participants report more on their memories and impressions than on hard facts and data. At the same time, business processes are becoming increasingly complex and at times spanning around the globe. This leads to extremely simplified and static process maps that do not capture performance peaks, rare events, problems such as loops or bottlenecks, or trends.

Process Mapping thus fails in two very important aspects: It cannot capture exceptions or variations in the process and is subject to numerous inaccuracies. In addition, it is a lengthy process that binds many stakeholders.

Process Mining

Process Mining is different because it relies on data already recorded in enterprise systems to create the process map. With computers being used almost everywhere these days, every process leaves a trail of “digital breadcrumbs.” Process Mining can use these to reflect the process in a map as it actually happens.

process mining uses real data instead of memories, perceptions or impressions to create the process map
Contrary to traditional Process Mapping, Process Mining uses existing and actual business data instead of memories, impressions or perceptions to create a process map

The result is a process map that shows the actual process, not just assumptions, and includes all possible paths from start to finish.
While Process Mapping spends countless hours talking, Process Mining takes only a few hours to a few days to create the map from data.

But Process Mining not only helps you get smarter faster. It’s not just a process map, it’s an analytics tool that lets you dive deep into your process to find hidden areas of improvement and understand what’s going on in your business. And when combined with Business Intelligence (BI) tools, it gets even better.

Process Mining in Power BI

Process Mining and BI work hand in hand when it comes to analyzing and improving business processes and developing optimization strategies. BI provides connectivity to back-end systems as well as analysis and visualization capabilities that make Process Mining even more powerful. Process Mining provides end-to-end process visibility and reveals correlations that BI misses because it usually focuses on specific KPIs.

The good news for all Microsoft users is that the world’s leading BI platform, Microsoft Power BI, is immediately available to them as part of Microsoft 365. The even better news is that it can be extended with PAFnow’s embedded Process Mining technology, so users don’t have to leave their Microsoft infrastructure.

PAFnow Process Mining software is simply built on the Power BI platform, allowing users to use the best of Power BI and PAFnow Process Mining in one solution. This allows users to simultaneously leverage Process Ming capabilities, Microsoft AI, Machine Learning and Q&A for their process data.

Power BI’s multiple data source connectors allow users to extract data from multiple information systems, while a variety of action connectors enable them to inject process mining results into other applications, share them with colleagues, collaborate, and take appropriate process improvement actions exactly where process problems occur.

Combined with monitoring and alerting capabilities that turn process analytics and insights into actionable key performance indicators, any employee can become a process expert.

The combination of Process Mining and BI helps companies make a variety of business decisions, identify new opportunities, and implement effective strategies based on insights that give companies a competitive advantage and long-term stability.

Do you want to learn more?

» PAFnow Process Mining software in Power BI