現在のやり方を強化するアプローチです。ここには、TRIZ、制約理論、リーンマネジメント、シックスシグマ、BPR（Business Process Re-engineering)が含まれます。革新（Innovation)というよりは、主に改善（Improvement）のための手法です。現在の業務プロセス、業務内容を把握し、非効率性、ボトルネックなどの問題点を発見し、改善施策を講じます。組織再編も含めた、全社的に根本的な改善を行うのがBPRです。
Frankly, process mining is just a business analysis to get a handle on what’s going on.
Of course, process mining is able to conduct business analysis much more accurately and efficiently than conventional interviews and observational surveys with field staff, and for this reason, it has rapidly gained attention in recent years.
In many cases, process mining is used in BPR(business process re-engineering) or business process improvement projects.
Therefore, it is important not only to understand the procedure of process mining as an analytical method, but also to understand and utilize the procedure and framework of BPR or business process improvement.
There are various approaches to BPR and business process improvement, but I think it is best to adopt Six Sigma’s methodology as a foundation.
Six Sigma is a business process improvement method developed by Motorola based on the Toyota Production System concept. That is, it includes many frameworks that originated in Japan.
The process improvement project at Six Sigma is known as the “DMAIC”. It is an acronym for the following five phases of activity.
A brief description of the relationship between each activity phase and process mining.
First, identify the processes that need to be improved, as well as potential problems and issues. Basically, problems that can be identified as phenomena, such as excessive overtime and exhausted employees, or an increase in customer complaints due to delivery delays, are identified and identified as problems in which processes are likely to have problems, and are targeted for improvement.
This is the prerequisite phase of the process mining project “scoping” or “analysis planning”.
Collect the data and information needed to understand the current situation. As mentioned earlier, it has traditionally been customary to hold interviews with field staff, conduct observation surveys, and hold workshops with all concerned parties to take inventory of current business processes.
In process mining, in addition to the information gathering methods described above, “Event Log”, which is historical data of business performance on IT systems, is extracted and analyzed.
The process model (as is Process) obtained from process mining enables accurate reproduction of fact-based business processes. However, it is of course impossible to grasp the operations that are being conducted outside of the system. Therefore, complementation through interviews and observational surveys is essential.
We conduct analysis from various perspectives based on information and data obtained in the previous phase.
In the case of a project using process mining, based on a process model derived from an event log, it is possible to easily find bottlenecks where work is taking too long, inefficient, or stagnating, so that it is possible to delve into the analysis of interviews and field investigations where such problems have been identified.
If process mining is not adopted, field interviews must begin with the question, “What are you doing and how are you doing it? (What, How)” However, if you look at the process model, you can ask the question, “Why does this happen? (Why)” making it easier to pursue the root cause.
Once the root causes of problems and issues that appear to be phenomena (Inefficiency, bottlenecks, etc.) have been clarified, specific improvement measures will be formulated and improvement activities will be carried out. Since it is the execution stage, the process mining is retracted to the stage, but the event log is steadily accumulated for the next Control (establishment and management).
The last is to establish and manage improved business processes. You can develop better business processes and deploy them in the field, but if you leave them as they are, you can go back to the old ways.
Therefore, continuous monitoring and appropriate guidance are needed to ensure that new processes take root. By utilizing process mining, it is possible to extract and analyze in real time operation history data that is executed on an IT system on a daily basis, and to quickly find deviations and problem points in an ongoing project and issue alerts, thereby ensuring that new business processes are implemented.