Process mining is a great way to get visibility into business process performance - if you have suitable data available. Let's go through what are the key data requirements to get a process mining project off the ground.
How process mining technology works
At its core, process mining facilitates the extraction and analysis of business process data from event logs.Process mining technology scans and extracts relevant business object data within different enterprise systems to create an X-ray view of the health of business processes. It is through this meticulous process analysis that we can decipher patterns, identify bottlenecks, and streamline business operations.The four key data requirements for process mining are:
- structured source data,
- data integration capabilities,
- data quality control processes,
- data compliance and security measures.
Structured data
Structured data is the foundation of process mining technology. This type of data, characterized by a defined schema and organization, enables us to construct a vivid blueprint of business operations. Here, we unveil the most important structured data requirements:
- Event logs: These are fundamental data entities, encompassing information about individual events that transpire within a system.
- Case ID: This identifier helps us to collate related events, facilitating a coherent analysis of business processes.
