Despite the high potential of projects and the growing popularity Process Mining: 7 Implementation Obstacles and How to Overcome Them, of technology, the implementation of process analytics class systems runs into a number of limitations, sometimes not leading companies to the expected results. Let’s talk about the key ones.
Level of organizational maturity
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The implementation of process mining is closely related to the current state of corporate business processes. Before launching a pilot project, it is necessary to analyze and objectively evaluate the level of digitalization and the maturity stage of internal bps. Their hierarchical structure looks like this:
Stage of understanding;
Standardization stage;
Optimization stage;
Stage of innovative implementation.
Based on this, a simple conclusion suggests itself: the higher the business is located, the greater the likelihood of successful implementation of a process analytics system into its digital infrastructure.
The place of process analytics in the strategic planning of the company
Coordination of the implementation of process mining between all responsible persons and key structures is an important task of the project. If we consider process analytics as a mandatory element of internal bureaucracy, and not as a tool that allows us to obtain additional profit, then the use of the technology does not make practical sense. In the context of the described problem, it is necessary to establish clear strategic goals and make sure that process mining occupies an important place in them and has real potential for bringing the business closer to achieving and increasing the established kpis.
Data quality
Successful process analysis depends on the quality of the data, most of which may be incomplete and/or inaccurate. The technology will not be effective in dealing with such an array, and the information obtained during the study will be irrelevant.
Top support
Lack of attention to the process mining project from the top list of most popular phones management reduces the likelihood of obtaining the desired results. The correct use of process analytics tools should not only be the focus of the responsible team, but also supported by the top management of the company.
The simplest and most understandable algorithm of actions in this case is to draw up a clear strategy for integrating software into the digital infrastructure with a clear demonstration of potential benefits, expressed in the volume of real profits and in the reduction of time for performing routine tasks.
People and culture
Let’s imagine a situation: a strategic decision on process mining integration fb users has been made at the highest level, the corresponding tasks have been assigned to department heads and distributed among line specialists, but their concerns and worries outweigh their attitude to job descriptions. How effective will such a configuration be? It’s unlikely to be implementing process analytics algorithms.
Based on materials from the process excellence network
It is necessary to build a productive way of thinking and explain to employees that systems are not integrated for the sake of mass layoffs and the rejection of human potential. Formation of culture is a labor-intensive but very important stage in increasing corporate efficiency.
In this situation, it is necessary to keep your finger on the pulse and improve interactions with personnel through respect and broad involvement of the staff in transparent discussions of the structure of business processes. Ultimately, the most important narrative that requires detailed communication to everyone is: process mining is a tool that makes life easier, and not a source of creating new problems.
Skills and resources
When considering the functional features of a team, one cannot focus solely on beliefs in the usefulness of process mining. Naturally, professional skills and the ability to carry out a comprehensive examination of the company’s process culture are a key step in achieving goals. There is a direct relationship expressed in the formula: process analytics is as effective as the people involved.
When solving this issue, top managers should understand that training is the key to success, and they should not spare effort and resources for it. If there are no opportunities for permanent development, then it is worth studying the market and attracting the most serious and professional specialists.
Limitations of traditional process analytics
Classic process mining is effective, but it is based on the creation of artificial models of processes that are considered in a vacuum. Over the past 12 years, this has brought enormous benefits, expressed in real profit. However, areas for improvement can be found even in a technology whose main task is to find “bottlenecks” and, accordingly, areas for improvement.
Recently, companies have been able to use analytics , which can solve almost all of the problems discussed above. allows businesses to study end-to-end business processes and their impact on each other, as well as optimize the analytical stage of the study.
