ThoughtSpot Cloud Documentation

May 2024 9.12.0.cl

You can now conversationally search ThoughtSpot using natural language on a Liveboard visualization, asking follow-up questions for further clarification or to take your analysis in a new direction. This conversational approach allows you to begin with a simple question, and ask successive questions to refine the answer you receive. ThoughtSpot translates each natural language question into a query, and answers in chart format. To enable this feature, contact ThoughtSpot Support.

For more information, see Ask Sage.

You can now use SpotIQ analysis to forecast future trends for your KPIs. ThoughtSpot uses machine learning models that learn from past trends, growth, and seasonality to project how the target metric will trend in the future. To enable this feature, contact ThoughtSpot Support.

For more information, see Forecasting.

We made the following enhancements to Sage Coach:

Collibra integration is now available to all users and on by default. You can now see verification status and descriptions on tables and columns imported from Collibra. This information appears when you click on the corresponding table or column in Search data. Once connected, this information is visible to all users. For more information, see Collibra catalog integration.

ThoughtSpot now shows you which data sources are used in a Liveboard. A Liveboard may contain visualizations from many data sources. Authors may choose to use this feature to provide other Liveboard editors with access to the underlying data sources.

The data sources appear in the Show Liveboard details modal under Data source.

For more information, see Details about a Liveboard.

ThoughtSpot introduces support for scheduling Liveboards with Excel (XLSX) attachments, in addition to the existing PDF and CSV options. This allows users to explore tabular data from these reports by using the XLSX data files. For more information, see Schedule a Liveboard job.

You can now change the filter values on Liveboards that have visualizations that include hidden columns, or a formula created from a hidden column.

Liveboard filters are now accessible to all users who have view or edit permissions to the underlying data source.

For more information, see Liveboard filters.

Personalized columns are now available to all users and on by default. Users with edit permissions on a Liveboard can set their preferred attribute columns through the change analysis window and select Apply to all users to keep those selections for any subsequent change analysis calculations on that Liveboard. Individual users can still override these preferences for their own calculations.

For more information, see Remember personalized columns.

You can now drill down on specific columns in change analysis, in order to identify change drivers within your data. For example, if you run an analysis on sales monthly and find out that the 'jacket' item type changed the most, you can easily drill down on jacket sales and identify which region contributed the most to the change in sales. To enable this feature, contact your administrator.

For more information, see Iterative change analysis.

A semi-additive measure, also known as snapshot data, is a measure that is usually aggregated for all attributes except for date and time. For certain measures, like inventory, you want to know what the value was at the beginning or end of a period. In that case, you can use the last_value function to find the inventory at the end of a month, rather than aggregating all values over the month. Similarly, you can use the first_value function to find out your stock at the beginning of a month. To enable this feature, contact your administrator.

For more information, see Semi-additive measures with first_value and last_value functions and Modeling data for semi-additive measures.

Now teams of analysts can more easily collaborate on content development of Liveboards and Answers. You can enable version control on specific Liveboards and Answers. With version control enabled, every time you save the Liveboard or Answer, a new version is created and stored. You can browse the version history in ThoughtSpot and restore any saved versions whenever you need to. To enable this feature, contact your administrator. For more information, see Liveboards and Answers.

We made the following enhancements to ThoughtSpot Sync:

Collibra catalog integration is now available to all users and on by default. You can now import metadata information related to your tables and columns from Collibra into ThoughtSpot. From the Data tab, you can set up a connection to Collibra to import column descriptions, column verification status, table descriptions, and table verification status.

For more information, see Collibra catalog integration.

We now support Redshift connections using AWS IDC OAuth. For more information, see Configure AWS IDC OAuth for a Redshift connection.

ThoughtSpot now supports secondary role configuration when you create a Snowflake connection using External OAuth. When you set secondary roles to ALL, you can access all tables that any single role has access to and combine them in a single SQL query without having to switch roles.

For more information on primary and secondary roles, see Enforcement model with primary role and secondary roles and Add a Snowflake connection.

You can now create multiple configurations for each Snowflake connection. This allows you to allocate a separate Snowflake warehouse for different ThoughtSpot users or groups, eliminating the need to duplicate Liveboards and configure multiple Snowflake connections and helping you with cost tracking and chargeback. You can also use this for your search indexing so that you can control and balance the computing load. In addition, this allows you to easily test a set of Liveboards against different environments (dev, qa, prod), and configure different databases for multi-tenancy / multi-org deployments. For more information, see Creating additional configurations for your Snowflake connection.

You can now manage onboarding configuration at the Org level. Now an Org administrator can update their onboarding configuration in the Admin panel without the need to contact the tenant administrator. This feature helps to reduce possible service interruptions by allowing you to make configuration changes per Org instead of taking the whole cluster down.

Administrators can now enable version control of Liveboards and Answers. You enable version control for your ThoughtSpot Org by connecting it to a Github repository. Once enabled for the Org, version control can be enabled individually for any Liveboard or Answer. Each time a user saves changes, a new version of the Liveboard or Answer is created and stored in your Github repository. Users can easily browse and restore an older version from the Liveboard or Answer itself. For more information, see Version control for Liveboards and Answers.

You can now use the User Adoption Liveboard to understand how ThoughtSpot is saving you time with ad-hoc insights, and how many users are accessing ThoughtSpot and creating new insights every month. For more information, see User Adoption Liveboard and User Productivity.

You can now use the table TML file to make changes to connection details like remapping columns and changing data type, rather than using the connection.yaml file. This allows you to make small changes to a Connection without the need to resolve all possible errors first. You can also edit or export the Connection TML file from the Data Workspace. For more information, see TML for connections.

ThoughtSpot now supports demo data access at the Org level. Customers can leverage this functionality to allow users to try building Answers and Liveboards. This is available to all users in the Org, and users are added to Demo Data Retail group by default. Org administrators can remove users from this group to remove their access to Demo Data.