Companies must be able to react quickly and competently to constantly changing macroeconomic developments in order to ensure their competitiveness.
The first step is to develop a detailed and agile understanding of the wishes and behavior of customers; they should be at the center of corporate action. After all, companies must respond today to the changes of tomorrow. In addition, in order to counteract the pressure on efficiency caused by increasing competition, the focus should be on the continuous optimization of existing processes and structures. More efficient end-to-end process design along the entire value chain reduces costs, shortens runtimes and ultimately increases customer satisfaction.
With our hands-on lean management approach, we support you in achieving sustainable improvements and thus fully exploiting your potential.
To do this, we analyze existing processes and focus on discovering potential for improvement. Together with the employees, we then create a vision of the ideal process. In the next step, we derive a target process with concrete measures from the target image in order to achieve initial optimizations today. In doing so, we rely on both proven methods and special creativity techniques geared to your corporate culture.
In addition to pure process optimization, it is important to create a new mindset so that employees at all levels develop an awareness of continuous improvement in everyday work, the end-2-end idea and the pursuit of visionary goals.
If this approach is sustained, the value of your product or service automatically increases from the customer's point of view, because regularly setting new quality standards becomes part of your identity.
The basis of any digitization is the standardization of workflows. We support you in documenting processes and decisions in BPMN 2.0 / DMN 1.1 as well as in building a process house from a fiscal point of view. If a documentation tool is already in use, we are happy to use it. Alternatively, we can advise you on the selection of a tool that is suitable for you, e.g. ARIS, Signavio, etc.
Possible use cases:
RPA (Robotic Process Automation) is the automated execution of structured business processes by "bots"/software robots. At WTS, we help you build your own family of robots to make rule-based and repetitive control processes fast and efficient. Our Financial Advisory experts undertake the analysis and sustainable automation of financial processes. Processes with a high transactional volume are best suited for this approach. For this purpose, the "bots" are adapted to and embedded in the specific needs of your IT infrastructure and organization in a system-independent manner.
Example use cases:
Bots can also be a transitional solution towards automated process control via workflow systems. These then control complete end-to-end processes, are integrated into the IT landscape and perform automatic actions such as entering data, sending notifications or creating documents without the need for manual interaction.
Relieve your employees from manual, repetitive tasks, build an automated "back office" instead. In this way, you give your employees more time for innovative topics and for expanding customer satisfaction.
In addition, the Financial Advisory division is part of the project-accompanying committee of the RPAsset research project, which is being conducted under the auspices of IPRI (International Performance Research Institute GmbH) and RWTH Aachen University (Rheinisch-Westfälische Technische Hochschule Aachen).
Process mining is the reconstruction and analysis of business processes based on electronic footprints. In this process, the individual steps of the process are pieced together using system data and the process is visualized.
As a team of tax, finance and process experts, we work with leading solutions (e.g. Celonis, Lana Labs or Signavio PI) to optimize your processes.
Sample use cases:
Typical areas of application are order-to-cash or purchase-to-pay processes, as they have a high transactional volume and thus a great deal of leverage for potential optimization.
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