Case Study: Avison Young achieves faster, cleaner data insights with UiPath automation

How Avison Young Uses Robots to Predict the Future

Avison Young, a commercial real estate services firm, needed a better way to manage the large volumes of messy data behind its AVANT analytics platform. The challenge was to give data scientists and business intelligence teams clean, timely, and integrated information without spending most of their time on manual data preparation and repetitive back-office work. UiPath’s Business Automation Platform was used to help scale their technology and support low-code integrations across the business.

With UiPath, Avison Young deployed bots to pull data from APIs, clean and route it into Snowflake, and automate a range of back-office, finance, and data collection tasks. This freed teams to focus on analysis, visualization, and client-facing insights in Tableau, while also enabling a more complete 360-degree view of clients by blending traditional real estate data with adjacent datasets. The impact included 125 bots automating work equivalent to 125 full-time employees, 60% time reclaimed from “janitorial data” work, and stronger data integration for better predictive reporting and decision-making.

Avison Young

Dave Sawdey

Global Leader of Portfolio Analytics and Business Intelligence