{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Margin","title":"Consumption Models & RevRec Architecture with Jagan Reddy","html":"","width":"100%","height":180,"duration":1320,"description":"Episode OverviewIn this episode of The Margin, MGI Research Managing Director Andrew Dailey sits down with Jagan Reddy, Founder and CEO of RightRev, to analyze the acute structural friction placed on corporate accounting teams by the rapid rise of consumption-based monetization. While high-volume consumption mechanics power the top-line valuations of market leaders like Snowflake and AWS, they concurrently introduce unprecedented operational risks to back-office revenue recognition (RevRec) workflows.Drawing from his extensive career solving complex revenue management challenges, including co-founding Leeyo Software (acquired by Zuora) and leading RightRev, Reddy discusses the technical collapse of spreadsheet-driven accounting under high transaction velocities. This conversation provides an analytical blueprint for CFOs and corporate controllers navigating severe multi-element ASC 606 compliance mandates, downstream data degradation, and the systemic financial statement risks triggered by continuous contract modifications.Key Analytical TakeawaysThe Structural Collapse of Spreadsheet-Based Revenue Accounting: Why manual spreadsheet tracking introduces immediate audit exposure and operational failure when exposed to the massive, multi-million-event transactional data volumes generated by modern consumption models.The Strategic Mandate for CFO-Led Quote-to-Revenue Automation: Why finance executives must abandon passive back-office postures and directly champion quote-to-revenue technology investments to avoid severe compliance bottlenecks that impede corporate growth velocity and market execution.Bridging the Architectural Silos of Sales, Billing, and RevRec: An objective look at the data friction that occurs between upstream sales configurations, mid-stream billing engines, and downstream revenue accounting systems, and the data normalization models required to unify them.Contract Modification Flexibility as a Finance Nightmare: How dynamic customer-driven...","thumbnail_url":"https://img.transistorcdn.com/vJ8JXYTr7sDHx1LU_X9M7E8n3ZnJyRhiDaGvLD2oa_U/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZmFj/NTk3YWNjNmRiNjg1/OTBmMGM1MjI5YTBk/MjIxZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}