video1.0<iframe src="https://www.loom.com/embed/05f3a01215a747f3bc1d5ea2d77be565" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/05f3a01215a747f3bc1d5ea2d77be565-30c6aae471766af1.gif3427.375This Loom explains how to use Lead Center reporting and business intelligence effectively, with a focus on interpreting report numbers and filters. It covers the embedded data warehouse concept, where transactional data is copied every 15 minutes to BigQuery for near real-time reporting, and distinguishes transactional, executive, and mixed BI reports. In the demo, the presenter emphasizes that key metrics change based on the date dimension used, such as lead creation date for sales pipeline versus appointment creation date for appointment reports, and shows how correlation across modules enables ROI and pipeline analysis. The Loom also highlights reporting exports to Google Sheets, CSV, Excel, and downloadable PDFs, plus an example of using ChatGPT to summarize an event performance report while noting compliance considerations.