Agents give Data Analysts more time to interpret findings and explain them.
Turn chat requests for ranked lists into schema-checked SQL.
Get a ranking SQL query in your chat thread, ready for review. See how the measure and ties determine each position.
Turn team count questions into SQL with clear counting units.
Get a SQL count query in the chat thread, with a clear note on what it counts and which conditions it uses.
Draft SQL from the schema for the requested period.
Get a SQL query for a date or date range in your report chat, with the time field and boundaries explained in the same thread.
Draft schema-based SQL for coworkers' data questions.
Get a SQL query and a clear explanation in the same chat thread as your question, with results when you allow them.
Turn metric definitions into SQL CASE groups for review.
You get a SQL CASE query that groups your metric by the rules you provide, plus clear explanations in the same request thread.
Draft multi-table queries from the keys in a teammate's question.
Get a SQL query with the joins and filters your question needs, plus a short explanation in the same help thread.
Start analysis from usable CSV rows and review source line errors.
Your analysts get CSVs from new text exports in a shared folder. A companion report points to source lines that need fixing.
Carry report tables and links into a checked Word draft.
Your Markdown report becomes a Word document in your team's layout, with tables and links checked and the draft linked on your task.
Combine weekly extracts and count exact duplicates removed.
Get a downloadable CSV from your teams' weekly extracts when the files are usable. See what needs attention in a summary beside it.
Flatten API results into a spreadsheet and matching CSV for review.
Your teammate gets a shared spreadsheet and matching CSV, with missing values called out instead of buried in raw JSON.
Deliver checked data extracts to colleagues each month.
Get a dated CSV and row count in your shared folder every month, or an error note explaining why the export stopped.
Load new CSV data into a table and flag failed imports.
Keep your PostgreSQL table current as CSV files arrive, with a row count or a clear reason when an import needs attention.