In order to achieve your business results such as profitability, market share and sales increase, your processes must meet your customers’ requests in terms of quality, time and price in order to realize those. How well your processes meet these customer demands is also hidden in the activities of your processes. One of the methods we use to detect those secrets is process analysis.
TRADITIONAL PROCESS ANALYSIS
Process Analysis, developed by the mother and father of Industrial Engineering, Dr. Lillian Gilbreth and Frank Gilbreth, is a business tool where your processes are visualized using post-its and non-value-added activities such as complexity, bottlenecks, unnecessary loops are detected on a flowchart. With the increase of amount and complexity of the processes over time, the process analysis has begun to be insufficient for the following reasons:
- Process maps are based on people’s perceptions and are usually drawn according to the most common situation. In this case, the most common problems may appear, but you will not see the infrequent ones.
- You cannot detect process variants that occur based on different personal decisions.
- It is an application that is usually drawn with a team and takes time.
- There is no instant integration with the data in the process (duration, number of cycles, quantity, categorical factors, etc.).
For this reason, with the increase in digitalization today, Process Mining is used to reveal the secrets of the processes operating in such environments (software and hardware).
WHAT IS PROCESS MINING?
Process Mining is a new technology based on artificial intelligence algorithms that reveals the flows of processes in all their variations with data support, by monitoring the log records of the processes in the system at the changeover points.
WHAT IS LOG RECORD?
All software keep event logs with the syslog standard released in the 1980s. In these records, basically 4 data is used by process mining. These are;
Case ID: For example, a PO number.
Activity name: One of the activities under the case IS. For example Purchase requisition creation
Activity start: For example: When the purchase requisition activity is started
Activity end: For example: When the purchase requisition activity is finished
These four data are essential for Process Mining. The analyzes you can do with other categorical data that can be excluded are almost unlimited.
BiLiG OpEx offers its customers “digitalization that pays for itself“. For detailed information, you can make an appointment for an online meeting from the “Book Now” box below.
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