"From Data Chaos to Clarity: Architecting Scalable Marketing Attribution Dashboards in Tableau" by Raunak KumarMarketing data is massive—billions of ad impressions, CRM touchpoints, and web events flow through disconnected systems every day. Without the right data architecture, Tableau dashboards quickly become slow, brittle, or impossible to maintain.In this session, I’ll share practical strategies to architect marketing attribution data for performance and scale using a modular, open-source stack (Fivetran + dbt + Snowflake). We’ll discuss how to:Design aggregate tables that balance query performance with analytical flexibility.Precompute multi-touch attribution metrics (Markov, Shapley) for efficient Tableau visualization.Implement parameter-driven dashboards that let users toggle attribution models or time windows without performance lag.Leverage Tableau Prep and incremental data pipelines to keep dashboards fresh and consistent.You’ll leave with a blueprint for high-performance Tableau dashboards that handle terabyte-scale marketing data while remaining responsive, accurate, and executive-ready.
