Case Study: CBRE achieves 50% reduction in manual data work and faster predictive analytics with Alteryx

CBRE - Customer Case Study

CBRE, the world’s largest commercial real estate services and investment firm, faced a slow-to-adopt industry with limited data transparency and access. Although they had high volumes of market data, they needed a platform to solve data management, cleansing, and forecasting challenges and to turn raw information into actionable business opportunities.

By adopting Alteryx, CBRE automated pipelines (replacing 60+ custom Python scripts), reduced a monthly manual process by 50% (about 50 hours/month), and cut survey processing from weeks to seconds. The team built sentiment analysis, tenant churn predictive models, proximity-based deduplication, and future-investment analytics, improved data quality by ~35%, accelerated model development, reduced errors, and scaled analytics across the organization through Server scheduling and an internal Center of Excellence.

CBRE

Kevin Kim

Sr. Software Engineer and Data Intelligence Manager