Evaluation & correctness · Reliability and controls
Which BI tools' AI answers match certified content?
2 of 15 tools do, according to their public docs, and 8 partly.
Yes: BigQuery, Metabase. Partly: Databricks, Snowflake, Omni, Hex, Sigma, Looker, Tableau, Power BI.
The question we asked: Does the built-in assistant answer consistently with the product's certified or governed content?
When a question is already answered by certified BI content or a governed metric, the product makes the assistant use that same definition, or tells the user when its answer departs from it. yes: the documentation says the assistant is bound to or checked against certified content or governed metrics, and that a mismatch is prevented or flagged. Using the semantic layer when one exists, with no statement about certified content or mismatches, is partly (that alone is the shared-definitions read row, M_IR). A "verified" badge on some answers with no rule tying answers to certified definitions is partly.
Databricks
Quoted from Databricks’s docsWhen Genie uses a trusted asset to answer a question, it provides a verified answer, giving agent users an extra layer of confidence in the result's accuracy.
Snowflake
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.
Omni
Quoted from Omni’s docsThis means AI-generated queries use the same governed definitions as the rest of Omni, so results are consistent and trustworthy.
Hex
Quoted from Hex’s docsEndorsed assets are prioritized when agents answer questions and act as a clear visual signal to end users that the data has been reviewed and approved by workspace Admins or Managers.
Sigma
Quoted from Sigma’s docs The known validity of the data: For example, if a data model has an "endorsed" badge applied, Assistant is more likely to use that data source. Similarly, if someone in your organization has created and shared metrics and data models, Assistant is more likely to select one of those when answering rather than using a table directly from your connected data platform.
BigQuery
Quoted from BigQuery’s docsIf an agent can use a verified query to answer a question that you ask it, to ensure a trustworthy answer, the agent invokes the query exactly as written.
Looker
Quoted from Looker’s docsGrounded in the Looker semantic modeling layer, Conversational Analytics empowers users in your organization to ask data-related questions in regular, natural (conversational) language for governed, trusted self-service BI.
Tableau
Quoted from Tableau’s docsGround answers in trusted content. Agents use trusted business definitions and calculations from semantic models, metadata, relationships, and business preferences in the knowledge graph, rather than relying only on raw data.
Power BI
Quoted from Power BI’s docsWhen a user types a prompt in Copilot, Copilot first checks for an exact or semantically similar match to any trigger phrase tied to a verified answer.
Metabase
Quoted from Metabase’s docsWhen turned on, Metabot only uses content that's verified, in an official collection, or published to the Library.
Alteryx
MotherDuck
Mode
Quoted from Mode’s docsThough you can include Definitions in your edits, the code contained within a given Definition won’t be included in the context that’s sent to OpenAI or used to generate updated syntax.
Redshift
Streamlit