← All case studies

ThoughtSpot × Cox 2M

ThoughtSpot x Cox 2M, 88% faster insights from IoT data at scale

88% reduction in time to insights

Frustrated and backlogged to fast and self-serve

Members read free

Unlock the full breakdown

Enter your email to open every case study in the library: the full screenshot, why it works, and the one thing worth stealing. One email unlocks all of them.

Free. No spam. Unsubscribe anytime.

Why it works

The case study anchors every claim in a concrete before state: a named dollar cost ($90,000+ annually), a named time cost (5 hours per ad hoc request), and a named volume of data being mishandled. The before-and-after on the Mazda battery query is a tight, specific example that makes the abstract metric tangible. The piece earns both its primary Efficiency tag and a secondary Clarity tag because the mechanism (natural language querying against BigQuery) simultaneously cut cost and gave non-technical users sight they did not have before.

Steal this

Use a single, concrete customer support ticket as a mini case-within-a-case: the Mazda battery query example converts an abstract percentage into a real before-and-after time comparison that any reader can visualize.

Full screenshot of ThoughtSpot x Cox 2M, 88% faster insights from IoT data at scale Click to enlarge ↗
View the original on thoughtspot.com ↗

This is editorial commentary and curation. The case study, screenshot, and all metrics are ThoughtSpot's published work; we link to the source and lead with our analysis.

  • Vendor ThoughtSpot
  • Customer Cox 2M
  • Industry Enterprise Software
  • Trigger Legacy BI tools created 5-hour lag per ad hoc request, costing $90,000+ annually and frustrating leadership
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page