Data and Information Modeling
Data-driven, solving issues
The more devices you have, the more data they generate.
Especially in environments where several heterogeneous devices are deployed, these devices generate heterogeneous data that can be hardly compared or even understood without a proper contextualization, such as tagging, timestamping and links to other data points.
We do apply both, field proven technologies such as OPC-UA information models and rather new technologies such as W3C standardized ontologies for solving semantic issues in the description of data and information.