Systems | Development | Analytics | API | Testing

This is Part 2 of our WEX series. In this blog, we explore how the company scaled self-service analytics by embedding AI—read Part 1 on their people-first approach. You’ve got AI pressure from every angle: execs, customers, and competitors. But legacy analytics doesn’t just slow down development—it frustrates users and undermines the value your product is supposed to deliver.

Talk to anyone who works with data, and you’ll hear a familiar story: Data engineers are still bogged down cleaning, prepping, and untangling semantic models. Analysts are churning out dashboard after dashboard, with little time left for real analysis. Developers are hand-coding embedded analytics, turning every new feature into a months-long project. And business users are stuck in line, waiting for answers.

Today, we are unveiling a new ThoughtSpot. Not because we needed a new logo. Because our brand needed to catch up to the company we already are. If you know ThoughtSpot, you know us as more than dashboards or static analytics. You know us as the place where every question has an actionable answer. We are an AI company. We lead in Agentic Analytics. And it is time for our brand to make that unmistakably clear. And yes, I am excited. We are all excited.

In today’s product landscape, analytics isn’t just about showing insights. It’s about moving data into the tools where work actually happens, so that users can make informed decisions in context. Users expect analytics to integrate with their systems, whether that means sending a lead to a CRM, creating a Jira ticket, or triggering a workflow downstream. As product owners, that means one thing: your analytics experience should enable seamless data flows across systems.