To build a truly data-driven culture, Chris Kapp of Henry Schein One explains that starting small, remaining agile, and reducing biases are essential for success.
Discover how to streamline your data engineering workflows and automate many of the tasks that bog down engineers. You will also explore: How Fivetran seamlessly integrates your data sources into Databricks, enabling you to build a truly modern and efficient data architecture. The Databricks Data Intelligence Platform and its combination of the best of data lakes and data warehouses, providing a unified platform for all your data, governance, and AI needs.
Enjoy this lesson from the Customizing Charts and Visualizations course in the Business User learning path on ThoughtSpot U. This lesson covers the basics of Customizing Visualizations to get the desired results.
Learn how ThoughtSpot Sync enables you to operationalize insights from ThoughtSpot for the business apps you know and use every day, including Slack, Google Sheets, Microsoft Team, ServiceNow, Salesforce, HubSpot, and more.
A data lakehouse is an innovative data architecture that blends the strengths of data lakes and data warehouses into a single, cohesive system. It retains the cost-effectiveness and flexibility of data lakes while incorporating the structured data management and performance optimization capabilities of data warehouses.
Model Context Protocol (MCP), introduced by Anthropic, is a new standard that simplifies artificial intelligence (AI) integrations by providing a secure, consistent way to connect AI agents with external tools and data sources. When we saw MCP’s potential, we immediately started exploring how we could bring real-time data streaming into the mix. With our long history of supporting open source and open standards, building an MCP server was a natural fit.
Info-Tech has released its 2025 Data Quadrant Report, which recognizes the best in technology solutions. Every year, Info-Tech evaluates top-performing software solutions based on authentic user reviews. Evaluating feedback from 3,433 users, this year’s report turned its focus toward business intelligence (BI) and analytics solutions that drive better decision-making for customers.
On March 3, 2025, we released version 25.03 of our product analytics platform, delivering a focused set of updates that refine how we handle data, improve our user interface, and expand compatibility with cutting-edge technologies. While our major new functionality—Journeys and Content Builder—was already introduced in a separate article (read it here), this release brings additional enhancements worth exploring.
At ThoughtSpot, our mission has always been to empower every decision-maker with instant insights that fuel smarter, faster decisions. Recently, we announced the launch of Spotter, our AI Analyst, which brings AI-powered insights to every user, on any question, and any dataset. This is ThoughtSpot's answer to a growing market of AI agents, and it’s our vision to make AI the new BI.