Systems | Development | Analytics | API | Testing

Introducing the ThoughtSpot Visualization Platform

Whether you're exploring trends, uncovering outliers, or designing presentations that tell a compelling story, your insights should be connected and pervasive. It's no longer enough to simply see your data. You need a fluid, intuitive experience that empowers you to find next-level insights faster. We’re thrilled to announce ThoughtSpot’s new-and-improved visualization platform, built with integrated intelligence to empower limitless interactivity.

Meet Muze: ThoughtSpot's native visualization engine

Business intelligence platforms analyze vast amounts of data, requiring visualization engines that balance performance, flexibility, and ease of use. Traditional charting libraries treat each chart type as a distinct entity, requiring separate logic and code for each. This approach leads to code duplication, limited reusability, and reduced maintainability. Additionally, it’s cumbersome to effectively layer or combine visual elements due to these libraries’ rigid composability.

Introducing the Agentic Semantic Layer: A New Standard for Data Foundations

For data analysts and engineers, the journey from raw data to actionable business insights for business users is never as simple as it sounds. The semantic layer is a critical component in this process, serving as the bridge between complex data sources and the business logic required for informed decision-making. However, not all semantic layers are created equal, and the evolving landscape of AI-powered analytics demands a new approach.

Unleashing AI-Driven Innovation: ThoughtSpot's Momentum in Australia & New Zealand

At ThoughtSpot, we’re on a mission to empower every business user to become a data champion. Over the past year, I’ve witnessed firsthand how organizations across Australia and New Zealand are embracing this vision, transforming the way they work, make decisions, and serve their customers. Today, I’m excited to share some of the incredible momentum we’re seeing in the region and to celebrate the forward-thinking organizations leading the charge.

Data and AI Predictions for 2025 with Joe Reis

Navigating the evolving landscape of data engineering in the age of AI? Join us as we delve into a crucial conversation with @JoeReisData renowned author of "Fundamentals of Data Engineering" and the highly anticipated "Mixed Model Arts." Joe shares his expert insights on why robust data modeling remains paramount, the urgent need for data teams to upskill in this new era, and the transformative potential of a universal semantic layer.

Insights to action powered by analytics agents

Prior to coming to ThoughtSpot, I was at Salesforce where my team and I built Einstein Analytics. I fundamentally believe the role of Analytics and BI is not just to give you a chart that shows what happened—it also needs to show you why it happened, what could happen, and tell you what you can do about it. That's what being data-driven means.

Importance of Column Selection in AI-driven automated insights

Everyone associated with Business Intelligence (BI) applications is talking about their Artificial Intelligence (AI) journey and the integration of AI in analytics. Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot has been a leader in augmented analytics, leveraging AI to automate insights and empower users to make data-driven decisions.