Case Study: Principal Financial Group builds a scalable real estate forecasting platform with Plotly Dash Enterprise

Principal Financial Group scales real estate forecasting to 140,000 outputs with Plotly

Principal Financial Group's Data Strategy and Analytics team faced challenges in providing interactive, scenario-driven real estate forecasts. Their previous tools lacked the necessary flexibility, and the team's limited front-end development experience created bottlenecks, leading to a heavy reliance on contractors. To overcome this, they adopted Plotly's Dash Enterprise to build a more dynamic internal platform.

Using Plotly Dash, the team built a scalable forecasting platform integrated with AWS and Snowflake. The solution, a central Dash application called MIPS, allows users to interactively examine over 140,000 model outputs, simulate portfolios, and adjust forecast variables. This resulted in reduced engineering overhead, faster feedback loops, and higher-quality collaboration, ultimately serving 60-75 internal users and enabling more informed investment decisions.

Principal Financial Group