Only a few years ago, business process management (BPM) was an important strategic task for corporate management. Today, interest has waned due to rampant planning and modelling. Instead, digitalization is better tackled. Today, new business models and processes are being created, while existing processes and areas are being restructured and digitized. The short time horizon in which processes are described, the required topicality of process models and the ever shorter implementation cycles pose challenges for process management.
Has process management run out?
Proven management concepts may become less valid in the course of the digital transformation. However, this is not the case for the modern process manager. On the contrary, new techniques and methods of process Data analysis allow him to advance his own company much better than was previously possible. At the same time, they enable the process manager to find potential for improvement in digitized processes, which will no longer be possible with traditional methods of measuring, tendering and working workshops.
The process mining tool-based method as a link between process management and big data has a key role to play here. Process mining sheds light on when processes are not lived, for example: the documentation of the business processes is outdated, the parties to the proceedings do not identify with the documented process or roles and responsibilities in business processes are unclear.
Business Process Mining
Process mining is all about that. Analyze and reconstruct business processes using digital traces in IT systems. the individual process steps are joined together, the process is visualized. Process mining is particularly common in companies where processes are not described at all or are described in insufficient quality.
How can process management and big data be intelligently combined?
To better understand Data, companies have been successfully using business intelligence (BI) methods for years. The primary goal is to provide insights for better strategic and operational decisions in the company. Some process mining software vendors are now taking advantage of BI tools by combining BI techniques with process mining techniques.
The advantage is obvious: The combination not only provides decision-makers with an aggregated view of process performance indicators, but also enables a visualization of the process processing that is carried out in the company. Also, the tools allow process-related comparisons of performance Data, for example at country or material group level. To better understand processes, it is obvious to also use target processes, such as reference models or the documented process models, for comparison with the actual processes.
Process management of the future
The idea of extending process management tools with process mining and BI capabilities has many advantages:
- There is no need to manually model processes, and process models are automatically updated instead.
- Process management becomes intelligent, insights from operational data can be used to optimize and control business processes. Rules on the management, organisation and monitoring of processes (governance) are easier to set across the Group.
The question of which process management tools best interact with BI tools and process mining tools via interfaces hardly matters any more, since
- Modern process managers already use the tools that guide the market for the management of business processes.
- Combine process management tools of the new generation of process mining techniques and robust BI processes and provide reliable answers to tomorrow’s requirements.
the integration of process mining into existing/leading BI systems is an intelligent alternative to competition between the two systems, and
Organizations that use a modern, web- and cloud-based process management tool can seamlessly integrate process mining into the BPM lifecycle.
Process mining techniques are a link between BPM and the BI world. By merging the procedures, Process Manager can analyze, improve, and document business flows faster. Process mining increases the efficiency of its projects, through data analysis it can improve processes and, by standardizing them, the entire company can be more effective. In the role of “project accelerator”, the modern process manager thus makes a high measurable contribution to the company’s success.