Platform · ThoughtSpot
Stop waiting for the dashboard that doesn't exist yet.
ThoughtSpot lets anyone search your governed Snowflake data in plain language and get an answer in seconds, closing the gap between the question someone actually has and the dashboard nobody built for it.
Different ways of working, not a longer feature list.
No SQL, no request queue. Analysts and business users ask the question directly against governed Snowflake data and get a result in seconds.
Automated anomaly and trend detection flags what a manual dashboard review would miss until the numbers are already stale.
Buyers, funders, franchisees or patients get direct, governed access to the slice of data that's theirs, without a bespoke reporting build.
SpotIQ: surfacing the question nobody thought to ask.
SpotIQ runs statistical analysis across your governed data in the background, surfacing anomalies and drivers before anyone thinks to search for them.
SpotIQ
Automated insight and anomaly detection
SpotIQ continuously analyses live Snowflake data for statistically significant patterns and outliers, surfacing them as plain-language insights rather than waiting for a manual review to catch them.
- Automated anomaly and driver detection
- Runs against live, governed Snowflake data
- Surfaces insights nobody thought to search for
- Plain-language explanations, not raw statistics
Not the search bar. The reasons natural-language analytics on Snowflake pays back.
Transformation
Data engineering stops being the bottleneck for every ad-hoc question. People search for the answer themselves, on the governed model, and get it before the meeting where they needed it.
Business process improvement
SpotIQ's anomaly detection turns investigation from a scheduled report review into something that surfaces the moment a number moves.
Optimisation
Search runs live against Snowflake: no separate in-memory engine to size, cache and keep in sync with the warehouse.
Cost saving
Fewer one-off dashboard requests for the data team to build and maintain, because the long tail of questions is answered by search instead.
Future-proofing
Embedded analytics extends the same governed search to customers and partners as those relationships grow, without a separate reporting stack to build for them.
ThoughtSpot, implemented on a governed Snowflake foundation.
We are not a formal ThoughtSpot partner today; we implement it the way we implement every analytics layer: on a governed Snowflake model, so search results are only ever as good as the data underneath them.
Governed semantic model
A governed semantic model on Snowflake underneath, so search results are only ever as trustworthy as the data they're built on.
Deployed where it fits
Implemented where natural-language search solves a real bottleneck, not switched on everywhere by default.
Embedded for partners
Embedded analytics for external stakeholders where it fits the use case, not a blanket rollout.
One governed foundation
Think, Build, Grow: search sits on the same governed foundation as every other platform we build.
