Systems | Development | Analytics | API | Testing

Eliminate the chaos of content sprawl and bring structure to your analytics environment. In this feature deep-dive, we explore Collections, a powerful new way to organize, navigate, and share your ThoughtSpot assets using a smart, hierarchical folder system. In this video, you will learn how to: The Result? A radically cleaner user experience that empowers executives to find answers faster and allows admins to govern content with surgical precision.

Spotter 3 is our smartest agent yet. It acts as a true analytical partner that thinks, reasons, and validates its work—all automatically. It blends structured and unstructured data to go beyond traditional data sources, providing a complete picture of the business. With new skills, like Python coding and forecasting, Spotter 3 acts as your AI data scientist. Spotter 3 ensures every question leads naturally to confident, data-backed action.

Stop falling into "Granularity Traps" and start mastering multi-level calculations. In this technical walkthrough, we explore how to leverage Flexible Group Aggregate functions to perform complex calculations across different levels of detail without losing your data’s integrity.

Why does finding a data insight mean leaving the conversation? Most of your team’s best context is hidden in Slack threads—until now. With the new Spotter + Slack connector, we’re bringing the power of AI agents directly into your workflow. Make data a natural part of your team's daily conversation. Data to Decisions, Powered by Agents.

Stop manual handovers and start automating your metadata management. In this technical guide, we explore how to use ThoughtSpot CS Tools to seamlessly transfer ownership of data objects—from Liveboards to data models—between users. Maintaining strict data governance is a challenge when team members change roles or exit an organization. Manually reassigning dozens of assets is prone to error and creates "orphan objects." By leveraging the ThoughtSpot CS Tools terminal, you can execute bulk ownership transfers that ensure 100% metadata retention while keeping your operations highly efficient.

Sales Leaders: Are you making decisions based on data, or just a "gut feeling"? If you want to move faster, you need to see this. James Smith, our SVP of EMEA, is demonstrating a hashtag#wowmoment that turns a vague intuition on SDR pipeline progression into a multi-million dollar revenue roadmap using Spotter.

RevOps Leaders: How much time does your team spend prepping for forecast calls? If the answer is "too much," you need to see this. Kelley Jarrett, our SVP of Strategy, Operations, and Enablement, is sharing her daily workflow and a hashtag#wowmoment using Spotter.

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what’s next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot’s Top Data & AI Trends of 2026 ebook. Get ready for a deep dive into: Consider this your field guide to navigating AI in 2026.

Trust, verified. Powered by Spotter. Why settle for AI hallucinations when you can have governed truth? Spotter maps natural language to business tokens, giving you 100% transparency down to the code. Experience AI you can actually explain. Discover what Spotter can do.

Stop manually wrangling data and start automating your governance. In this technical deep-dive, we explore how to leverage ThoughtSpot Modeling Language (TML) to manage complex joins and enforce strict business rules at the architectural level. Traditional UI joins are great, but sometimes you need to ensure end-users only interact with a specific subset of data—like active subscribers—without giving them the ability to toggle filters. By moving your logic into TML, you create a "Join with Filters" that hardcodes business rules directly into your data model.