To Aggregate Data with Matching Tags
When viewing the
Aggregation grid, you can easily identify acquisition tags and classes that are
direct matches to the digital twin cohorts, because their
State is identified as "Needs merge".
Tip: It is
recommended to aggregate your highest quality dataset (the dataset with the
most number of correct tag names) first, as this will create a baseline dataset
for the digital twin and reduce the amount of effort to merge subsequent
acquisitions into the existing digital twin.
If you want to aggregate data for which the tags and/or classes do not match up exactly, see Matching Tags Using Fuzzy Match.
Follow these steps to aggregate acquisition data for which there is a direct match for tags and classes.
-
On the Data Aggregation grid, select rows with a
State of
"Needs merge" (
).
- Publish the data to the digital twin.