Case Study: Hodges Ward Elliott achieves faster, smarter commercial real estate decisions with CARTO

Profiting in Commercial Real Estate using Location Intelligence

Hodges Ward Elliott, a commercial real estate investment company, was looking for better ways to use data science and location intelligence to understand market demand and make faster, more effective real estate decisions. Using CARTO, the team explored how open data and spatial analysis could reveal patterns in people’s preferences, mobility, and neighborhood performance.

CARTO helped Hodges Ward Elliott build maps and workflows in R for iterative exploration, visualization, and predictive modeling, including analyses of taxi traffic, transit access, permits, retail clusters, and building-sale probabilities. The result was a more data-driven approach to commercial real estate, with CARTO enabling quicker insights, stronger predictive features, and faster map creation in as little as 10 minutes.

Hodges Ward Elliot