Clients use ThoughtSpot because of its search facility. It is easy for searching and does not require analysts to provide reports. There is no drill-down path on the data, so users can drill data anywhere and get answers. It has agentic AI built in with natural language processing.
It is very self-service and includes natural language search capability.
I think it is a game changer this year. They have implemented something called Spotter, which provides the end user with a Google-style analytics solution to deliver quick insights without extensive training or requiring an analyst for reports.
They work with Microsoft and AWS.
I do not think there is anything that needs improvement at the moment. It is being improved continuously. They are connecting to many AI-type tools. Their pricing has recently changed to be more price-conscious.
From the implementation perspective, it could possibly be a bit more streamlined.
ThoughtSpot is absolutely a scalable solution.
Technical support of ThoughtSpot rates at an eight. Because we manage our customers, we solve any problems that come to us in the first instance, and then we triage the calls. If anything needs to go to ThoughtSpot, then it goes over to them.
The initial setup is medium in complexity. As an implementer of ThoughtSpot, modeling capabilities are required to get ThoughtSpot operational. We build some live boards for the customer so they can get started with it. Then we hand it over to the customer to continue and administer the platform as they see fit.
The return on investment is demonstrated through time savings and speed to insights.
I have not personally encountered any issues as I do not perform the implementations, but there could be some. I speak from a customer and sales perspective.
On a scale of 1-10, this solution rates a 10.