AI Analyst
Ask questions about your Daasity data in plain English - in the app, or from the AI tool you already use.
The AI Analyst lets anyone on your team ask questions about your business in plain English and get answers back from your governed Daasity metrics - the same definitions behind your dashboards and Explores. No SQL, no exports, no waiting in a report queue.
This page explains what the AI Analyst is, why brands use it, and how to choose between the two ways of using it. For setup, see Ask in Daasity and Connect Your AI (MCP).
What is the AI Analyst?
Your dashboards answer the questions you anticipated. Most days bring one you didn't - a number, a ranking, a trend. Answering it usually means digging into an Explore (knowing which one, which fields, which filters), asking the teammate who lives in your BI tool, or - for the occasional deep dive - querying the warehouse directly. Multiply that across a team, and questions pile up in a queue, or worse, go unasked.
The AI Analyst removes that friction. Ask a question the way you'd ask a colleague - "top 10 products by revenue last 30 days" - and it finds the right fields, runs the query against your Daasity data, and answers in plain English, with the underlying rows one click away.
Because every answer comes from your governed semantic layer, the number you get in chat is the same number your dashboards and Explores show. That's the difference between AI Analyst and pointing a general-purpose AI at a spreadsheet export: the answers are grounded in metrics your team has already agreed on.
Why brands use it
Everyone can self-serve an answer. Merchandising, marketing, ops, and leadership can all pull a number, ranking, or trend the moment they need it - no SQL, no ticket, no analyst dependency for the routine questions that make up most data requests.
One set of numbers. Answers use the same metric definitions as the rest of Daasity, so the revenue figure in a chat thread matches the one in the Monday dashboard review. Teams stop debating whose spreadsheet is right and start debating what to do.
Answers cover your whole business. Because Daasity harmonizes DTC, marketplace, retail, and wholesale data into one model, "revenue by channel" means all of your channels - not just the ones a single tool can see.
It shows its work. Every answer includes the assumptions it made (like the exact date window used), a short interpretation of the result, and a View data option to expand the rows behind it - so you can trust exactly what was measured before you act on it.
It meets your team where they work. Quick answers live in the Daasity app. Teams already working in an AI tool can bring their Daasity data to them instead.
Availability: AI Analyst is a Daasity add-on. If you don't see it in your workspace, contact your Daasity account team.
Two ways to use it
Where you ask
Chat assistant inside your Daasity workspace
Your own AI tool - Claude Desktop, Claude on the web, or Cursor
Best for
Quick answers while you're already in Daasity; saved threads you can return to and build on
Weaving Daasity data into work you're already doing in an AI tool - drafting, analysis, prototypes, automations
Setup
None - open it and ask
Add Daasity as a connector in your AI tool (a few minutes)
Learn more
Ask in Daasity
Connect Your AI (MCP)
Both run on the same semantic layer, so the answers match no matter where you ask.
What to expect
AI Analyst is built for answering questions about your data. A few expectations worth setting with your team:
Data pulls are the sweet spot. Numbers, rankings, breakdowns, and trends come back reliably. For open-ended analysis, iterate with follow-up questions and sanity-check results before relying on them.
It answers questions; it doesn't build reports. Use AI Analyst for the question of the moment, and dashboards and Explores for the views your team reviews on a schedule.
Read the assumption notes. When your question is ambiguous ("last 30 days"), the answer tells you exactly what window and filters it used.
Security and governance
AI Analyst only sees what your workspace is allowed to see. MCP connections are read-only, scoped to your workspace, time- and usage-limited, and revocable at any time. Queries run through your validated semantic layer and respect your workspace's governance rules - connecting an AI tool never opens a side door around them.
Licensing
AI Analyst is an add-on license. If you're a workspace administrator and don't see it in your workspace, contact your Daasity account representative.
Get started
Connect your own AI tool
Connect your own AI tool - add Daasity as a connector in Claude or Cursor. See Connect Your AI (MCP).
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