Automated Business Process Discovery

Fast and cost-efficient process discovery & mapping

Create a business process model at a fraction of the time and cost necessary in the traditional way. Automated business process discovery also reduces human errors in the analysis.

Detailed process maps for rich and interactive analysis

Process maps with all the nuances of the process, statistical information, variants, process exceptions, unusual transactions, bottlenecks, deviations, and potential risks in processes.

Process maps from scratch based on pattern recognition

Discover processes without prior knowledge or specifying a process model. Process maps are created from data logged during normal execution of the process.

Bridge the “white space" and gaps in knowledge

Bridge the “white space,” the process knowledge gap that exists between various systems, departments and functions and at the edges of processes.

Traditional business process modelling is a costly and time-consuming process. It can be easily influenced by subjective opinions, lack of knowledge or objective validation techniques. Minit Process Mining overcomes these shortcomings.

Minit automatically recreates process maps from traces of users actions left within the applications they use to accomplish tasks when they do their jobs. It provides an accurate picture of how users are performing their duties rather than the idealized model of what they are supposed to be doing.

Unlike a static model, Minit can also provide an animation of the process flow over time, to allow analysts to understand the dynamics of the business processes. Making it much easier to improve the process and also to automate using a BPMS tool.

Minit generates business process flow diagrams and statistical overlays for fast analysis of the time spent on individual business activities, ability to measure the cost or money flow for each process, the number of users that follow a particular path, and much more.

1.Identify the process

Identify who participates in the process and the systems in which it takes place.

2. Extract data

Extract event log data from the various IT system - ERP, CRM, Service Management, BPM, LOB, etc.

3. Pre-process the data

Transform raw data into the right format, combine logs from different systems.

4. As-Is process model

Import data into Minit and get process model capturing what has happened in the real-life process.

Process discovery & process mapping starts here