„Who does what, when, how and using what?“ This is the central question that has to be asked because of the new conditions created by the digital transformation. Where increasing efficiency is concerned, optimizing processes basically offers unlimited potential.
In order to achieve this, process management including its methods and tools is indispensable. We support you by completing a business process analysis of your company in order to understand your processes as a whole. This allows us to create and visualize process descriptions and then optimize them together with you.
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Role and Processes of Process Management
Process management has many different objectives. One of the main objectives is optimizing processes to achieve more efficiency in your everyday business operations. In order to realize this, your company has to get to know its own processes better and, if necessary, re-develop them.
Doing a survey of the existing processes and understanding their design are therefore the first two tasks. Another task is the documentation of all old and new processes. This process documentation allows the company to achieve better transparency among the different departments. Moreover, such a process documentation can also fulfill legal requirements the company faces from the outside.
Other important tasks are the analysis and implementation of processes as this leads to the ultimate goal of optimized processes. This is how process management leads to higher quality, lower costs and more efficiency overall.
Advantages of Process Management
Process Management: Our Methods
When it comes to IT, process management mainly focuses on how the different business functions and IT interact. We rely on proven Business Process Modeling Notation (BPMN) methods to collaboratively create and develop solutions with you, that not only meet the requirements of your specialized processes, but also bring together your human and technical requirements.
There are many different methods used within process management. Some of the most important and most prevalent of these methods are described below.
- Businesss Process Reengineering (BPR) is a management strategy that is often also referred to as business process redesign or business transformation. It is often used to analyze workflows and business processes within the company. Instead of focusing on only one business process, BPR is focused on the company as a whole. BPR helps the company re-organize all of its processes and re-focuses these processes on company goals in a more efficient way.
- KAIZEN is Japanese and can be translated as “improvement”. Kaizen as a method supposedly originated in Japan as a management concept that aims at helping the company to continually improve. Kaizen is usually focused on one process or one procedure at a time. The goal is to perfect one step at a time which leads to overall process optimization.
- Lean Management bezeichnet das sogenannte "schlankes Management" im Sinne von einer effizienten Gestaltung der gesamten Wertschöpfungskette. Normalerweise wird Lean Management nur auf industrielle Produkte angewendet. Laut einer Umfrage von Staufen arbeiten 95% deutscher Industriebetriebe nach Lean Management Methoden. Deswegen wird es mittlerweile fast als Grundlage gesehen, mit deren Hilfe "die schlanke Fabrik" zur "Smart Factory" werden kann.
- Process modelling is often also called business process modelling. It is often an integral part of process management, because processes need to first be analyzed and described before they can be depicted and modelled. The goal of process modelling is to picture complex issues in a simple-to-understand way.
- Six Sigma is often used to describe and improve business processes. The biggest difference to other methods is that measuring, analyzing and monitoring are done using statistical methods. The core process includes the following steps:
- Define the process
- Measure to what extent the process meets expectations
- Identify reasons why the process isn’t meeting expectations
- Improve the process
- Monitor the new process using statistical methods such as analysis of test data
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