What is Data Contextualization?

Data contextualization adds meaning (asset, unit, location, state, timestamp) to raw tag values so data can be understood outside its source system.

Architecture & Data

40001 = 7420 is just a number; { "asset": "pump-01", "temperature": 74.2, "unit": "°C" } is information. Data without context leads to misreadings in analytics and AI and to projects that do not scale. Template-based modeling is the way to apply this context consistently to every asset.