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.

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.

AI is moving fast, but outcomes still depend on one thing: trusted data, in the right place, at the right time, with the right controls. In this short Qlik story video, you’ll see how we help teams accelerate AI with confidence, turning data into answers you can explain, and actions you can stand behind. From strengthening supply chain decisions, to building a campaign plan in seconds, to spotting changes as they happen, Qlik connects analytics, automation, and governed AI experiences, so AI becomes operational, not experimental.

In this From the Bear Cave session, Dan Faulkner and Vineeta Puranik break down how MCP Server enables connected workflows, what autonomy looks like in practice, and why trust and transparency are critical as teams adopt agentic automation.

AI is reshaping how sales teams find prospects, build relationships, and close deals. Frank O’Dowd, Cloudera’s Chief Revenue Officer, joins to discuss Cloudera’s approach to AI in the sales function. Frank details his philosophy, which is that rather than replacing the human touch, AI is helping sales professionals work smarter, offering insights, personalization, and efficiency at scale. It’s a complementary tool that can help sales teams make themselves relevant to their target audience. As Frank says in the episode, “The person with the most information always wins.”

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 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.

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 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.

Katalon worked closely with the customer to set clear success metrics, benchmark their starting point, and build a roadmap to boost automation, reduce defects, and speed up releases. The outcome: far fewer weekend emergencies for the VP, major gains in automation coverage and quality, and a QA team that’s now more mature, and even adopting AI in their testing. — Daisy Hoang, SVP Revenue at Katalon Follow Katalon for more insights in our series!