How I Built A Predictive Data App That Made Retail Forecasting Click

Brooklyn Data has developed the Customer 360 Embedded Data App to address the challenge faced by e-commerce companies where various departments use customer data in disparate ways. The app provides teams with comprehensive visibility into their operations, integrates predictive analytics for forecasting and strategy refinement, and operationalizes AI within workflows. Built on the Sigma platform with Snowflake handling forecasting models, the app evolved from a simple dashboard to a sophisticated tool, featuring user-friendly modals, an approval workflow, and intuitive interfaces enhanced by plain-language descriptions and export options. This setup empowers non-technical stakeholders to trust and effectively utilize data, enabling seamless planning and execution of marketing strategies without requiring technical intervention. The project highlights the flexibility and creativity afforded by Sigma, allowing for successful integration and utilization of predictive models, ultimately enhancing business decision-making and strategy implementation.