add-on for dataquality

Data scientists are 70% of their time busy with cleaning data. In the pi system, we can se lo and hi limits, but dataquality is more than that. It's also about consistent and continuous datarate, strange sensor signals,...Within Pi, this is still mainly a manual process. Today our AVEVA distributor has partnered with the company timeseer.ai that had built a platform to check the dataquality and te store it back into the pi system as a validated value (next to the raw data)

Since AVEVA is about managing complex data and companies are generating more and more data, managing dataquality is getting extremely important as well. This solution would make our Pi Data Infrastructure solution even more complete. The win for the customer is the reduced time the datascientist need to spend on cleaning the data.