WIAM® ICE is initially a individually configurable data management system without predefined data objects, tables and parameters. The product is used for data management in technical areas, such as in test laboratories, in research and in product and material development. With WIAM® ICE, the customer can quickly structure and digitize complex issues clearly and fast.
WIAM® ICE is used for checking, approval and traceability of technical data, which can be compared, calculated, prepared and further processed. Because they form the basis for digital processes – for IoT, Big Data, AI -, automation and well-founded decisions. The product enables an individual design by the customer and through additional modules for product liability and quality assurance.
On the server side, WIAM® ICE is based on the JavaEE stack and can therefore be used across platforms on Windows and Linux. It can be operated as a stand-alone solution, but also in a distributed environment with several parallel instances (in the AppServer or via Docker).
The software is cloud-capable and is used productively in group-specific cloud environments and also by public cloud providers (e.g. AWS, Azure, Ionos).
For integration into digitization and automation processes, WIAM® ICE has a generally valid data format (Excel, XML or JSON), with which the entire database or any partial aspects (structure, movement data, Objects) for the data exchange (import / export) can be mapped. An associated mass data interface enables data transfer via a REST- API , taking into account the rights management.
Various interfaces allow information to be created quickly, data imports to be automated and exports in Excel, JSON or xml to be linked to other tools via Python scripts and REST. The connection of specially developed and external tools such as Matlab, Jupyter Notebook makes it possible to use each tool according to its strengths. WIAM is the data basis for all quality assurance and evaluation processes in companies!
Dive into the WIAM Success Stories and Use Cases and try out our solutions at the example of your data.