Process Mining (or Process Analysis or Process Intelligence) is a new field in Business Process Management (BPM). It gives us the ability to extract process information from event logs. Transaction logs of an operational system or audit trails from workflow management system, can be used to discover models describing processes.

How Minit Analyzes Data behind your Operations

Data Collection/Preprocessing

When people and machines perform their jobs, traces of every action remain within the company systems - ERP, CRM, Service Management, BPM, LOB, and more. Minit uses these event logs to automatically discover and document processes. To begin, data analysts extract information from the system and preprocess it. If a process spans across several different systems, logs from these are combined to create a complete picture of your process.

Process Synthesis

Minit takes the event log and automatically pieces together the 'as-is' business process. Process mining algorithms combine events, analyze their chronological order, correlations, frequency, and performance. They reduce the complexity of the data and categorize it in a way that makes it possible to deduce all relevant information. All of this happens within seconds. Even data logs containing billions of events are processed on the fly, with minimal hardware requirements.

Process Analysis

Minit visually demonstrates each process as an interactive map containing all relevant information down to single case level. Highlighting process exceptions, unusual transactions, bottlenecks, deviations, weaknesses and potential risks in processes. Now you can eliminate problems within the process, find connections, causes, and solutions to improve efficiency and performance.