Systems | Development | Analytics | API | Testing

Retrieving Metadata from a ThoughtSpot Cluster Using CS Tools

Retaining total clarity over your metadata doesn't have to be a manual burden. While traditional BI tools often demand more time than they save, this technical walkthrough explores how to leverage CSTools—a Python-based utility—to bypass the UI and fetch metadata directly via REST APIs. Automating your cluster oversight is essential for reliable, code-first tracking of users and groups at scale. By using CSTools, you can eliminate the manual "busy work" and offload the repetitive tasks that weigh down your data team.

Enhancing Liveboards with Dynamic Granularity Options in ThoughtSpot

Stop falling into "Manual Toggle Fatigue" and start mastering dynamic Liveboard control. In this technical walkthrough, we explore how to leverage Parameters paired with Custom Formulas to update granularity across an entire suite of visuals with a single selection.

Don't DIY Your AI: How MDaudit Scaled Smarter with ThoughtSpot

​@MDauditSoftware did it by swapping "data babysitting" for ThoughtSpot. After 6 years, they’ve unlocked a "shadow workforce" that handles the tech so the team can focus on growth. The Result: Total operational independence Zero maintenance, more innovation Strategic agility at scale Stop DIY-ing your AI.

From Dashboard Rage to Pipeline Clarity in 3 Minutes: Liza's #OnTheSpot Moment with Spotter

Marketing leaders, check out Liza’s Moment: Instead of manual data wrangling across dispersed platforms, Liza Siordia uses natural language to consolidate her campaign performance on the fly. Spotter moves us from a world of fragmented reporting to a single source of truth across data sources. You can continuously refine your analysis in real-time—from "how did webinars in January perform" to complex YOY comparisons.

ThoughtSpot + Slack: Introducing Spotter for Real-Time Search

We’re excited to share that ThoughtSpot is a launch partner for @Slackhq's new Real-Time Search (RTS) API and Model Context Protocol (MCP) server! What happens when you bring the power of AI-driven analytics into the world’s leading collaboration platform? You get Spotter for Slack. With this new integration, Spotter can now.

How Nasdaq Architected a $90 Trillion Data Ecosystem

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq’s CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.

From Raw Data to Strategy #OnTheSpot in Under 3 Minutes

"I’ve worked in the analytics industry for 25 years... this thing makes me as powerful as any analyst I’ve ever met." When ThoughtSpot’s Tony Hammond handed a raw dataset to Spotter, our agentic AI analyst, he wasn't just running a demo—he was witnessing a with a complete transformation of the analytics workflow.

A New Way to Run Pipeline Analysis #OnTheSpot

Jeffry Cape, our Senior GTM Enablement Manager, asked Spotter: "Look at our early stage pipeline generation performance from the dates of Shark Week in November and share what some of the best practices are". He wasn’t checking campaign stats—he was rewriting his daily workflow. A dashboard might tell you meetings are “up.” Spotter went further—running a hands-free deep dive on our global Shark Week program and surfacing what actually moves the needle on pipeline progression.

Capturing User Logins for Business Intelligence Insights with ThoughtSpot

Bridge the gap between deploying analytics and driving actual adoption by capturing and analyzing real-world user login behavior. In this technical walkthrough, we explore how to utilize ThoughtSpot CS Tools to extract audit logs and activity data, giving admins and stakeholders clear visibility into platform engagement. In this video, you will learn how to: The Result? A data-driven approach to platform administration that replaces intuition with hard evidence of user adoption and engagement.