ThoughtSpot Cloud Documentation

May 2025 10.9.0.cl

With Spotter agent’s powerful new capabilities, it’s easier than ever to explore your data and get answers that drive confident decisions.

Here’s what’s new:

For more information, see Spotter best practices.

You can now hover over query tokens in Spotter to see background information on measures, attributes, formulas, and filters. For more information, see Spotter best practices.

When you edit a Worksheet or Model that has Spotter enabled, you now see a Spotter optimization tab where you can click tiles to enable indexing, ensure date values are stored in the correct format, and optimize column types. You must have edit access to a Worksheet or Model to enable Spotter optimization.

For more information, see Spotter Worksheet/Model readiness.

You can now click tokens in a Spotter answer to edit them for clarity, such as specifying whether a measure should be classified as count or unique count, or changing the column being used as an attribute.

For more information, see Getting started with Spotter.

ThoughtSpot for PowerPoint is an add-in that allows you to insert charts and data visualizations into your PowerPoint presentation. Just connect to your ThoughtSpot instance, find a chart or visualization, and add it to your PowerPoint presentation. For more information, see ThoughtSpot add-in for Microsoft PowerPoint.

ThoughtSpot now allows you to automate the removal of headers from XLSX files to allow you to optimize processing of your files. Once enabled, all XLSX files will have headers removed. To enable this feature contact ThoughtSpot Support.

For more information, see Download your search.

Date phrase keywords now support grammatically correct combinations of date buckets—beyond simple options like yesterday or monthly. For example, you can now search for sales in the last week of each month with improved grammar in the following languages:

To enable this feature, contact ThoughtSpot Support.

AI Highlights are now available to all users. With AI Highlights, you get quick insights on how top metrics have changed in your Liveboard, dramatically reducing the time to derive insights from your KPIs. To enable this feature, contact your administrator.

For more information, see AI Highlights.

When you create a Liveboard schedule, you can now receive AI Highlights in the scheduled email. For each KPI, the highlights define the top contributors for any change in the KPI value. To enable this feature, contact ThoughtSpot Support.

For more information, see Schedule a Liveboard job.

ThoughtSpot now allows you to create and modify Monitor alerts in different time zones. When setting up an alert, you can specify the desired time zone (for example, "America/Los_Angeles") for when the alert should be sent. This removes the previous requirement to convert alert times to UTC, enabling more flexible and localized alert scheduling and delivery for users across various regions.

ThoughtSpot introduces optional grouping columns in query_groups to ensure that only specified columns are included, if they are present in the query. A new syntax allows users to define an explicit optional list of grouping columns. Previously, you needed to manually exclude all other columns from the Model. To enable this feature, contact your administrator. For more information, see Query_groups optional grouping columns.

We have added support for last_value_in_period and first_value_in_period functions. These functions are useful for semi-additive measures, measures that typically return a single value per time period rather than being additive across time. For example, if you want to find out the last value for full-time employee headcount for the current date, you can use the formula, fxFTE = last_value_in_period(sum(full_time_employee), query_groups(), {date}). To enable this feature, contact your administrator.

For more information, see Last_value_in_period and first_value_in_period functions.

When you search on a Worksheet or Model containing a chasm or fan trap on Spotter, you can click the Preview data button to preview the underlying tables and columns. Click the names of tables in the left-hand menu to navigate between them. To enable this feature, contact ThoughtSpot Support.

For more information, see Getting started with Spotter.

Filter, select and export specific reference questions or business terms across various data models directly from Coach Spotter.

For more information, see Migrate Spotter feedback using TML.

You can now make bulk edits to Model column properties by importing or exporting the Model as a CSV file from the Model editor. For more information, see Building your Model.

ThoughtSpot introduces a redesigned and enhanced user interface to make adding KPIs to your watchlist easier. To enable this feature, contact your administrator.

For more information, see Track important KPIs enhancements.

This feature provides the ability to define a column name or description alias in a Worksheet or Model which allows column names and descriptions to be displayed in a supported system language. When enabled, column names and descriptions in the Search Data and Answer interface display in the system language selected by the user in their ThoughtSpot user profile. To enable this feature, contact ThoughtSpot Support.

For more information, see Column and description aliases for localization.

You can now create additional configurations for a Google BigQuery connection, rather than just the default configuration. With multiple connection configurations, you can configure separate Google BigQuery projects and/or authentications for specific ThoughtSpot users, groups, or processes, eliminating the need to duplicate connections.

For more information, see Add a Google BigQuery connection.

We have made the following changes to connection fields for Google BigQuery:

For more information, see Add a BigQuery connection.

ThoughtSpot now has a new data model AI and BI Stats that allows customers to create Answers and Liveboards leveraging product usage data. This model systematically captures query performance metrics for every query executed against external databases. This enhancement aims to significantly improve the accuracy, reliability, and depth of insights delivered by system Liveboard reporting within ThoughtSpot.

For more information, see AI and BI Stats.

ThoughtSpot introduces SCIM support to automate identity management and user provisioning across different identity management systems. Customers who use identity providers like Okta or Active Directory for identity management can now sync their user-management functions between their IdP and ThoughtSpot Cloud. Users are provisioned with their corresponding group and Org attributes when they authenticate via SSO (SAML). Users that are deactivated in their IDP are removed from ThoughtSpot as well. To enable this feature, contact ThoughtSpot Support.

For more information, see Manage users and groups with SCIM.

For new features and enhancements introduced in this release of ThoughtSpot Embedded, see ThoughtSpot Developer Documentation.