I need to explore the natural segmentation opportunities in this dataset. Let me start by examining the key dimensions that could serve as grouping variables. {"action": "tool_call", "reasoning": "The pipeline table dominates the dataset at 98.3% of rows. I should examine its key categorical dimensions (deal_stage, product, account, sales_agent) to understand natural segmentation opportunities. I'll start by profiling the distribution of these classifiers.", "tool": "inspect_columns", "args": {"table": "b2b_sales_funnel_pipeline", "columns": ["deal_stage", "product", "account", "sales_agent", "engage_date", "close_date", "close_value"]}}