How Geospatial Thinking Can Boost Clarity and Strategy in Homebuilding | Keith Laba | Sekisui House

In this session from the Spatial Data Science Conference New York 2025 (#SDSC25), Keith Laba (VP of Consumer Analytics, Sekisui House Residential Holdings) discusses how geospatial analytics helps bridge the gap between analytical insights and real-world decision-making in homebuilding. He explains why traditional dashboards and tables often fail to resonate with homebuilding teams, and how mapping data makes patterns clearer and more actionable. Using examples from Sekisui House’s U.S. operations, he walks through four levels of analysis: descriptive, diagnostic, predictive, and prescriptive – and shows how visualizing data such as household income, population growth, and housing price forecasts helps identify both short- and long-term investment opportunities.