Evaluation & correctness · Reliability and controls
Which BI tools' AI remembers corrections?
5 of 15 tools do, according to their public docs, and 4 partly.
Yes: Databricks, Snowflake, Omni, Hex, Power BI. Partly: BigQuery, Looker, Tableau, Redshift.
The question we asked: Does a person’s correction to a built-in assistant answer change its later answers, and does the documentation say how far that reaches?
Grading standard
The documentation says a correction a person makes to a built-in assistant answer changes the assistant’s later answers, and says how far it reaches (that user, a team, everyone using the data). A correction documented to affect later answers with no stated reach is partly. A feedback thumb that only rates an answer or files a ticket is not this.
Databricks
Yes
Quoted from Databricks’s docsThen, you can save it as an instruction to teach Genie how to answer in the future.
Source: docs.databricks.com/aws/en/genie-agents/monitor · checked Oct 26, 2026 · quoted by GPT
Snowflake
Yes
Quoted from Snowflake’s docsWhen the user’s question is similar to a query in the Verified Query Repository (VQR), Cortex Analyst uses that query to generate the SQL query in its response.
Source: docs.snowflake.com/en/user-guide/views-semantic/verified-query-repository · checked Oct 26, 2026 · quoted by Gemini
Omni
Yes
Quoted from Omni’s docsChanges are written to the model as YAML, making them available to all users querying through that model.
Source: docs.omni.co/ai/learn-from-conversation · checked Oct 26, 2026 · quoted by Claude
Hex
Yes
Quoted from Hex’s docsWhen multiple warnings from recent conversations point to the same underlying knowledge gap, Hex groups them into a single suggestion and proposes concrete changes — such as updating a guide, improving a table description, or endorsing a resource — that an Admin can act on.
Source: learn.hex.tech/docs/agent-management/suggestions · checked Oct 26, 2026 · quoted by GPT
Sigma
No
Quoted from Sigma’s docsTo help the agent remember important context from conversations, add an input table to your workbook and create an action tool for the agent to use.
Source: help.sigmacomputing.com/docs/example-agent-implementations · checked Oct 26, 2026 · quoted by Claude
BigQuery
Partly
Quoted from BigQuery’s docsIf the response is not what you expect, change the settings in the Editor section to refine the data agent configuration until you get satisfactory responses.
Source: docs.cloud.google.com/bigquery/docs/create-data-agents · checked Oct 26, 2026 · quoted by Claude
Looker
Partly
Quoted from Looker’s docsThese question-and-query pairs act as verified "gold standards" of truth that teach your agent how to handle complex business requests without guessing.
Source: cloud.google.com/looker/docs/conversational-analytics-looker-data-agents · checked Oct 26, 2026 · quoted by Claude
Tableau
Partly
Quoted from Tableau’s docsFeedback further personalizes insights. Users can provide thumbs-up or thumbs-down feedback on the insights they see to indicate whether the insights are useful. The Insights platform learns from this to further personalize the types of insights it shows to a user.
Source: help.tableau.com/current/online/en-us/pulse_insights_platform_insight_types.htm · checked Oct 26, 2026 · quoted by GPT
Power BI
Yespreview
Quoted from Power BI’s docsNow, when the user asks for sales by area, Copilot returns the verified answer that the model author approves.
Source: learn.microsoft.com/en-us/power-bi/create-reports/copilot-prepare-data-ai-faq · checked Oct 26, 2026 · quoted by GPT
Redshift
Partly
Quoted from Redshift’s docsIt learns from these errors to produce better SQL.
Source: docs.aws.amazon.com/redshift/latest/mgmt/query-editor-v2-generative-ai.html · checked Oct 26, 2026 · quoted by Claude
Metabase
Alteryx
MotherDuck
Mode
Streamlit