Case Study Ferdinand Bilstein
Ferdinand Bilstein introduces mpmX to optimize the Material Master Data Management
The bilstein group is a globally active, family‑run company based in Ennepetal, Germany, specializing in the Independent Automotive Aftermarket. It brings together well‑known brands such as febi, SWAG, and Blue Print, offering an extensive range of over 80,000 technical wear and repair parts for passenger cars and commercial vehicles. The bilstein group combines high product quality with strong customer focus, in‑house production, and logistics to provide reliable repair and maintenance solutions for workshops and distributors around the world.
The importance of material master data management
In particular, Material Master Data Management (MMDM) significantly impacts the core value creation processes of industrial companies and therefore plays an important role at bilsteingroup. Typical challenges in the creation and change process of material master data are heterogeneous system landscapes and the coordination of the different departments involved in the company. Delays and errors in the MMDM process often lead to problems and disruptions in related business processes, e.g., in production, sales, or purchasing.
"With mpmX we were able to seamlessly establish our existing Qlik Sense® platform as a Process Mining solution. The simple deployment made it very easy for us to get started so that we could generate added value for our master data processes in a very short time."
Why mpmX
The agile Process Mining tool mpmX based on the Qlik® platform enabled Ferdinand Bilstein to identify process inefficiencies and automation potentials in a very short time. In addition, the applications are used to further establish and improve process standardization and harmonization.
Current automation rates are visualized at a glance and important process deviations are made visible. Furthermore, lead time delays and their causes are identified. These findings and the measures derived from them have a direct influence on the important key figures order-to-cash and time-to-market. The joint implementation of the first Process Mining scenario took place within just one day as part of a coaching workshop. Thanks to the existing Qlik® know-how, Ferdinand Bilstein was directly able to further develop the application and to do the data preparation independently. The users were also able to immediately start self-service Process Mining in the familiar Qlik Sense® interface.
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