AI-Agents for Data Analysts in Business Intelligence working with Google BigQuery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Import valid spreadsheet rows for analysis and flag entry errors.
Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.
13 toolsMatch report questions to schema fields and draft pivot SQL.
Get a pivot SQL query back in the chat thread, with totals explained and columns matched to your database schema.
15 toolsTurn 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.
14 toolsTurn 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.
15 toolsDraft 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.
14 toolsDraft 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.
14 toolsDeliver 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.
11 toolsLoad 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.
13 toolsLoad valid activity rows and flag rejects for analysis.
Get fresh website activity in your analysis table, with an import tally and a report of rows that need fixing.
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