Which BI tools' AI explains why a number changed?

Quoted from Databricks’s docsGenie analyzes the selected change and returns an explanation with the top contributing factors.

Quoted from Snowflake’s docsReach for Deep Research when you need to understand why something happened, when the answer likely spans multiple tables or domains, or when you want a citable report you can hand to stakeholders.

Quoted from Omni’s docsPipeline and revenue narratives — "Write a short update on how we're tracking against this month's revenue target and which segments are driving the change"

Quoted from Hex’s docsI set the date input to last quarter, why is revenue down?

Quoted from Sigma’s docsExtract factual information from your data, identify the drivers behind a metric, detect anomalies and get guided next steps, segment your data into meaningful groups, or ask questions that generate charts you can explore in a workbook.

Quoted from BigQuery’s docsConversational analytics supports the following AI and ML functions in response to chats with data agents and data sources, and in verified SQL queries that you create.

Quoted from Looker’s docsYou can also specify whether you want the workflow notification to include results from Gemini-powered Key driver analysis, which provides insight about why the change that triggered your workflow occurred.

Quoted from Tableau’s docsShows values for dimension members that changed the most in the same direction as the observed change in the metric.

Quoted from Power BI’s docsCopilot can't currently answer questions that require generating new insights, such as anomaly detection, forecasting, or finding key influencers.

Quoted from Alteryx’s docsLet’s take a look at this example, where we see Loyalist customers had contributed to a 0.31 increase in the overall average price for that month (0.2 increase).