Industrial data management and data use is becoming more and more important in increasingly digitizing processes. For example, a company-specific approach to centralized and decentralized data management must be found and operational responsibilities must be clearly defined. A functioning data management system is of strategic importance for business processes such as customer service.
The design of a holistic data management is a company-wide challenge. In many cases it is not clear which data is actually available in the company, how valid the data stock is and which persons/departments are responsible for this data. The consequences are redundant data entry, high efforts to find or manage data.
Starting from the big-picture of a data strategy, which defines the essential maxims for action, how data is identified and managed in an entrepreneurial manner, the responsibilities of data-related roles as well as the responsibilities for existing corporate roles must be defined. A data governance model takes into account whether a physical or virtual data governance organization is necessary. Within the framework of the project, the Fraunhofer ISST, in collaboration with Thales, is developing a concept for data governance in the commissioning group in workshops and in additional work.
On the qualitative level, the model enables the company to achieve increased company-wide information transparency. The clearly defined responsibilities ensure that data-related activities are coordinated more uniformly and reduce the amount of work to the necessary core activities of the employees.
- Thales Group