What is Headless BI? A Guide for Leaders Who Need Answers, Not Just Dashboards

You have more data than ever, but getting a simple answer feels impossible. Your data lives in dashboards you can’t question and reports that are outdated the moment they’re published. You’re paying for analytics tools that most of your team never touches. And when you actually need an answer – in a meeting, on a call, right now – you’re told to wait for someone to pull a report.

Streaming Data Integration with Apache Kafka

Data streaming with events supports many different applications and use cases. Event-driven microservices use data streaming, allowing companies to build applications based on domain-driven designs. This approach allows teams to break applications into composable microservices that can be worked on independently, speeding development. These designs scale well and can process huge amounts of data efficiently.

Qlik: Making Data Work for AI

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.

Making Data Work for AI

AI is not a pilot anymore. In 2026, it is the operating agenda. And if you’re leading a business or an IT project right now, you’re probably getting the same two questions. First: “When do we see real outcomes?” Second: “Can we trust what we’re getting?” Those are fair questions. They’re the right questions. Because the truth is, the model is rarely the problem. The hard part is everything around it. The data. The access. The silos. The controls.

Building for Agentic AI

Our customers’ worlds are complex, and for good reason. It’s multi-cloud. It’s SaaS plus on-prem. It’s Snowflake, Databricks, AWS, Azure, Salesforce, and more. Underneath every one of those choices is the same constraint: data must be accessible, stay current, and stay controlled. The hard part is getting trusted data where it needs to be, when it needs to be there, with the controls to use it responsibly.

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.

Collections: A New Way to Tackle Content Clutter with ThoughtSpot

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.