Overcoming Granularity Traps in ThoughtSpot with Flexible Aggregates

Stop falling into "Granularity Traps" and start mastering multi-level calculations. In this technical walkthrough, we explore how to leverage Flexible Group Aggregate functions to perform complex calculations across different levels of detail without losing your data’s integrity.

Standard analytics tools often lock you into the lowest level of granularity present in your search. If you’re looking at store-level data, getting a stable regional total for a percentage-of-total calculation can feel impossible. By using ThoughtSpot’s group_aggregate, you can bypass the search bar's constraints and lock in specific "grains" at the formula level.

In this video, you will learn how to:

• Identify the Granularity Trap: Understand why standard search results often fail when comparing individual line items (like Store Sales) against broader aggregates (like Regional Revenue).
• Master the Syntax: Break down the three essential parameters of the Group Aggregate function: the math (Formula), the level of detail (Grains), and the context (Filters).
• Dynamic Grain Control: Learn how to use the query_groups() function with subtraction syntax (e.g., - store) to dynamically remove attributes from your calculation while keeping them in your visual.
• Calculate % Contribution: Walk through the final step of joining different granularities to create high-value business metrics like "Percent Contribution to Region" in a single view.

The Result? A sophisticated, flexible data model that allows users to drill down into the details without losing sight of the bigger picture.

See how ThoughtSpot works: https://bit.ly/49OMj12

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