Analyzing the complete data set would more easily identify anomalies in the data and capture more exceptions than a standard questionnaire. Using AI mapping tools would then help map to our data schema more effectively. I understand we are evaluation a tool that can map work flow to our API my assumption is we could do the same with data. Lots of really good stuff out there for us to evaluate. Are we in the right forest?