This is a good point and one that we’ve grappled with a lot. My point of view after working on 30+ company deployments is that it depends on the use case. Here’

This is a good point and one that we’ve grappled with a lot. My point of view after working on 30+ company deployments is that it depends on the use case. Here’s an example: you have a very analytical BizOps lead at a mid market company. He/she is smart, knows data, can do pivot tables, the whole shabang. But every time they need to get data that isn’t in the BI tool they issue a jira ticket for the data analyst to process / fetch because they don’t know SQL well enough. The dataherald engine is perfect. They are able to use natural language, admittedly with a few iterations, to get the cut of data that they seek. This cuts down hours, or even days from their inquiry.