Without structured tool data, the full potential of your shopfloor remains untapped. This is exactly where our Data Services come in: We support you in efficiently digitizing your tool data – with machining know-how, a systematic approach and the goal of creating consistent data quality for your digital processes. Whether manufacturer, dealer or user: Our solutions make your data ready for tool management, CAM, simulation and the entire production process.
Data Services for tool data: Analysis, consulting and digital implementation
Arguably the most integral element of any tool management system is its database. It serves as a source of information, generates added value and describes in detail the geometric and technological features of the tools. With this data as a basis, you are empowered to make daily decisions relating to NC planning and production. That is why it is important that this data is high-quality, comprehensive and consistent in order to network with other systems.
The database determines the success of your digital planning
Digitization means: Processes and systems must work together seamlessly. For this to succeed, structured and consistent data is required – especially in the field of machining. This is because tool data is the basis for CAM systems, simulations, ERP or tool management software to function smoothly.
But this is where the challenge often lies:
The digitization of tools requires not only time and resources, but also technological know-how in machining. Whether manufacturer, dealer or user – wherever there is a lack of capacity to correctly classify and structure tool data and prepare it for digital use. This is exactly where our Data Services come into play.
Manufacturers and users need perfect data – we create it
Our Data Services team coordinates the inventory analysis, calculates the effort involved and plans and carries out the digitization in individual data packages. Regardless of whether you already have a database or whether we are starting from scratch, we plan and implement your individual data project.