Available in beta, we have introduced new version control REST APIs for Git integration in the 9.3.0.cl release of ThoughtSpot Analytics Cloud. ThoughtSpot administrators can now link their instances to a GitHub repository and utilize continuous integration and deployment (CI/CD) best practices to effectively manage their organization's analytic content throughout its lifecycle.
Active listening is an admired and sought after skill in both the professional and personal sphere. After all, who doesn’t love to be heard? But what happens when we apply that mindset to the way our organizations solicit feedback and interact with our customers? We don’t have to make any assumptions to answer this question, because we have the data.
At ThoughtSpot, we know how important it is for businesses of every size and industry to empower every knowledge worker with personalized, actionable data-driven insights. These insights are your secret sauce to making better business decisions, growing faster, and delivering customer experiences that keep people coming back for more. But how do you scale self-service analytics to business users without completely overwhelming your data teams?
You may already be familiar with dbt, but just to be sure we're on the same page, let's revisit the concepts. The Data Build Tool (dbt) is a widely used framework provided by dbt Labs, specifically designed to bridge the gap between data analysts, data engineers, and software engineers, resulting in the creation of a new role in data and analytics: the analytics engineer.
During Beyond 2023, we officially launched ThoughtSpot Sage, our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform. As the experience layer of the modern data stack and an Elite Partner of Snowflake, we are constantly thinking about how our product innovation unlocks value for our shared customers.
Google BigQuery is a fully managed, enterprise-scale, cloud data warehouse that helps you store, manage, and analyze your data. This article will take you through the fundamentals of Google BigQuery. I’ll also share optimization opportunities to improve performance when you’re using both BigQuery and ThoughtSpot.
Data modeling is not about creating diagrams for documentation sake. It’s about creating a shared understanding between the business and the data teams, building trust, and delivering value with data. It’s also an investment. An investment in your data systems' stability, reliability, and future adaptability. Like all valuable initiatives, it will require some additional effort upfront.
With the recent announcement of ThoughtSpot Sage, we launched a number of enhancements to our search capabilities including AI-generated answers, AI-powered search suggestions, and AI-assisted data modeling. In this article we will walk you through the steps we take to secure your data during the LLM interaction.
In a world where user experience and IT support can mean the difference between hitting or missing your ARR marks, businesses have to find smarter ways to build workflows and support their IT departments. That’s where companies like ServiceNow come into play. A few years back, we created our ServiceNow SpotApp, a pre-built analytics template to help companies analyze and understand their data—so they can increase efficiencies across their complex IT environments.
There are millions of data products out there, some successful and others…less so. But the truly standout data products are the ones that change users’ behavior. You know you’ve built something special when your users start forming habits around your product. The question is, how do you create something that stands out in a sea of data products? We believe it comes down to one thing: a relentless focus on delivering user value.
