With a new version of Analyst Studio, ThoughtSpot hopes to make company data ready for AI projects via agents. Data from widely different sources can be brought together within a single workflow. ThoughtSpot also promises that cloud costs will remain limited, despite its ambitious plans.
Organizations that want to roll out AI agents and natural language search functionality often encounter a bottleneck. Data must be accurate, secure, and quickly accessible before AI can get to work with it. To achieve this, organizations normally first need to get their data management in order. ThoughtSpot is trying to close this “AI readiness gap” by unifying data management, preparation, and cost management in a single workflow.
The new Analyst Studio combines different approaches. For example, data teams can choose live connections when real-time data is needed, or optimized snapshots via SpotCache for specific requirements. Where rigid BI tools force a choice between live-only or extract-only models, ThoughtSpot aims to offer flexibility.
SpotCache for cost management
SpotCache is a new caching feature that allows users to create data snapshots that can be queried indefinitely within ThoughtSpot without touching the cloud data warehouse. This gives IT decision-makers more control over cloud consumption, while users can continue to use ThoughtSpot’s AI analyst Spotter and natural language search functions.
The spreadsheet-based interface is aimed at analysts who work in Excel. Users can perform advanced manipulations such as user cohorting and complex formulas, as they are accustomed to doing. According to ThoughtSpot, this bridges the gap between spreadsheet flexibility and the desired governance.
Agentic data prep and mashups
The agentic data prep feature allows analysts to chat in natural language to profile datasets, generate queries, and troubleshoot complex schemas on the fly. At the same time, ThoughtSpot promises that data remains secure.
Unified Data Mashup also brings together data from different sources. Data teams can now mix data from cloud data warehouses, business applications, and flat files such as Google Sheets and Microsoft Excel, directly within the native SQL IDE. This allows data engineers to model and mix data from any source while maintaining consistency and integrity.
ThoughtSpot previously focused on reasoning skills for the Spotter assistant. This was followed by specialized BI agents such as SpotterViz, SpotterModel, and SpotterCode for different roles within the data stack. The new Analyst Studio generation further expands this with more integrated data preparation.
Availability
Analyst Studio, including SpotCache and data mashups, is now generally available to ThoughtSpot Analytics and ThoughtSpot Embedded customers. Additional advanced capabilities such as the native spreadsheet experience and the new data prep agent will be rolled out later this year via a phased early access program.