Data Analysis

This is a structured workflow for turning messy revenue data into defensible insights. It walks you through a seven-phase process from ingestion to output, with mandatory decision logging at every step (why this filter, why this metric, what assumptions you made). The bias checklist and data quality validator are the real value here: they force you to document survivorship bias, test weighting sensitivity, and add confidence intervals before you ship anything. Built for financial and RevOps contexts where stakeholders will actually question your methodology. Outputs range from exec slide decks to full Marimo notebooks with audit trails. If you've ever had an analysis questioned three months later and couldn't remember why you excluded certain records, this prevents that.