In our QA process, we take product samples and make measurements for critical process parameters. For the data this produces, all measurement readings for a single QA sample have a single timestamp.
Since this seems like it may be pretty common across manufacturers, I am wondering options for bringing this into Seeq without losing the granularity of the raw data.
When we import the raw values, it seems like Seeq is automatically averaging all of the points.
We can aggregate the samples in the backend database by doing statistical aggregations in the back-end SQL, but then we also lose the granularity of the raw sample readings.
I would gladly appreciate any thought or suggestions on the best way to handle this.
