I need to identify the time dimension and analyze the trend. From the dataset card, I can see three temporal axes: - raw.accounts.year_established (1979..2017) - raw.sales_pipeline.engage_date (2016-10-20..2017-12-27) - raw.sales_pipeline.close_date (2017-03-01..2017-12-31) The most relevant for analyzing business trends would be the sales pipeline dates. Let me check if there's a pre-aggregated gold table for this. ```json { "action": "tool_call", "reasoning": "The dataset has temporal dimensions in sales_pipeline (engage_date and close_date). I can see gold tables like 'sales_pipeline_by_close_date__yyyy_mm' which should have pre-aggregated monthly data. Let me query this to see the trend over time.", "tool": "query_sql", "args": { "sql": "SELECT * FROM sales_pipeline_by_close_date__yyyy_mm ORDER BY close_date__yyyy_mm", "purpose": "Get monthly aggregated sales pipeline data to analyze the overall trend", "source": "gold" } } ```