Event Logs Made Simple
When people first hear about Process Mining, they often have two very different ideas about how it handles data. Some assume it automatically collects and transforms everything for them. Others fear that they’ll need to manually gather, clean, and reformat huge amounts of data before they can even start. Let’s clarify what’s actually true.
Understanding the Event Log
Process Mining doesn’t require massive amounts of data - it works as long as the data is in the right format. Specifically, it uses event log data, which can come from databases, CSV files, spreadsheets, logs (like transaction or message logs), or ERP systems. The minimum required data points are:
Case ID: a unique identifier for each individual case in a process (e.g., an order ID)
Timestamp: records when an event occurred
Activity Name: describes what happened at that step (e.g., “Order placed”)
A case represents one complete journey through your process, made up of a series of events—hence the term event log.
A Process Mining tool does not automatically search your systems for the data - you need to provide it. Most organizations already have the necessary data, and analysts can help prepare it. Sometimes, data needs to be transformed into the correct format. This step is usually easier and faster than most people think. Once the data is loaded into the tool, process visualizations, flow charts, and reports are created automatically, saving time and effort.
In short: data loading in Process Mining isn’t fully automated, but it also isn’t overly complicated. The key is having the right data in the right format.
About the “Event Log” term
Many people find “Event Log” confusing, but it’s simply a collection of events, each categorized by three essential data points: Case ID, Timestamp, and Activity Name.
