Introducing Analyst Studio
A collaborative creator space that gives data teams the power tools they need — SQL, R, Python, and visual analysis — in a seamlessly integrated intelligence platform.
Go beyond dashboards and static reporting—become the analyst of the future. Whether you’re uncovering insights as an analyst or shaping your organization’s data strategy as a leader, Analyst Studio is built around you. Empower your data team to prepare data for AI, move effortlessly between quick ad hoc analysis and advanced analytics, and manage data and costs flexibly. Turn data into insights for everyone in one complete analytics workflow.
With the native SQL editor, you can prep and model any data for AI easier than ever, so your team can be up and running with AI insights in minutes. AI Assist lets you write SQL fast by generating queries using natural language prompts. Use Definitions for code reuse, and quickly check past work with query history. Investigate and profile data with an intuitive chart builder.
Analyst Studio is designed around your data team’s go-to workflow, so you can collaborate and move together with speed. You can easily connect and join data from multiple cloud data warehouses, Google Sheets, and third-party apps, expanding ThoughtSpot's connectivity options.
Datasets give you the choice to work with periodic data snapshots instead of live connections, improving performance and reducing strain on data sources. With controlled refresh schedules, you can focus on delivering high-quality datasets while optimizing resource usage.
With instant access to popular built-in libraries, use integrated Python & R notebooks as your data science workbench to perform sophisticated analytics, run forecasting, create advanced data visualizations or automate workflows with external apps.
Analyst Studio brings together analyst capabilities in a collaborative creator space.
Work with data snapshots instead of live connections for faster performance, lower data source load, and controlled data refresh schedules
Integrate and analyze data from multiple sources to create unified views that support cross-dataset analysis.
Interactive notebooks enable users to perform sophisticated analytics, such as survival analysis and forecasting
Analysts can explore data using a code-first approach and iterate on findings to uncover deeper insights.
Technical users can leverage code-centric environments to write custom SQL queries and Python scripts, providing complete control over data processing and analysis.
Prepare and transform data using calculated fields and interactive notebooks. This functionality enables complex data manipulations, custom calculations, and more.
Use Python to automate scheduled data-driven processes.
Use Python to integrate targeted data from SaaS apps or non-supported file sources via API.
By signing up, I agree to ThoughtSpot's
terms and conditions
.
Please also see ThoughtSpot's
Privacy Statement
.
Unlock your data team’s potential with the complete intelligence platform.