๐๐ ๐๐ง๐ ๐ฉ๐ง๐ฎ๐๐ฃ๐ ๐ฉ๐ค ๐ก๐๐๐ง๐ฃ ๐ฌ๐๐๐ฉ ๐๐จ ๐ช๐จ๐๐๐ช๐ก (๐ค๐ง ๐ฃ๐ค๐ฉ) ๐๐ฉ ๐๐ฃ ๐๐๐๐๐ก๐๐ง๐๐ฉ๐๐ ๐ฅ๐๐๐ ๐ฌ๐๐๐ก๐ ๐ฌ๐ค๐ง๐ ๐๐ฃ๐ ๐๐ก๐ค๐จ๐๐ก๐ฎ ๐ฌ๐๐ฉ๐ ๐ค๐ช๐ง ๐จ๐ฉ๐๐ ๐๐๐ค๐ก๐๐๐ง๐จ. ๐ฝ๐๐๐ฃ๐ ๐๐๐ก๐ ๐ฉ๐ค ๐ฆ๐ช๐๐๐ ๐ก๐ฎ ๐๐ฉ๐๐ง๐๐ฉ๐ ๐๐ฃ๐ ๐๐๐ฉ๐๐๐ง ๐๐๐๐๐๐๐๐ ๐ค๐ฃ ๐ ๐๐ก๐๐ญ๐๐๐ก๐ ๐ฌ๐๐ ๐๐๐ซ๐๐ก๐ค๐ฅ๐ข๐๐ฃ๐ฉ ๐ฅ๐ก๐๐ฉ๐๐ค๐ง๐ข ๐ก๐๐ ๐ ๐ฟ๐๐จ๐ ๐๐จ ๐๐ง๐๐ฉ๐๐๐๐กโ
โ Wesley Brueland, Principal Asset Management
For Principal Asset Management, what began as an effort to present modeling outcomes and quickly iterate on feedback has evolved into a scalable, self-service system that balances flexibility with governance.
โข Dash apps now serve approximately 60 to 75 internal users throughout the organization
โข The team maintains 10 long-living real estate apps, many running for over two years
โข Their forecasting system produces 140,000 model artifacts across 2,040 combinations and nine economic scenarios
โข Users can interactively simulate model portfolios, export results, and adjust forecast outputs directly
โข Engineering load has decreased as quant researchers and data scientists produce higher-quality Dash code with fewer refactor cycles
This setup has given the team more time to focus on improvements, new research, and better user experiences. By combining production-grade tooling with approachable code and AI-assisted workflows, the Principal Real Estate Data Strategy and Analytics team has built a durable foundation for decision support in a high-stakes, data-rich environment.
Read the full user story โฌ๏ธ
plotly.com/user-stories/prinโฆ
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