Case Study: JLL achieves scalable, high-performance cloud property search and deeper data insights with Microsoft Azure

Prime Property and Data Discovery with Cloud-Based Search and Analytics

JLL, a global commercial real estate services firm, needed to differentiate its JLLproperty.com listings site and complete a move to the cloud. The company struggled with search performance and modern search features (relevance, faceted navigation, typeahead, geographic/polygon search) and wanted faster, localized market analytics for thousands of properties across global markets.

JLL moved search and analytics to Microsoft Azure—deploying Azure Search for fast, scalable, relevance-driven and geospatial search, and using Azure HDInsight with Power View/PowerPivot for big-data mashups; it also piloted Azure Machine Learning for predictive pricing. The result was a cloud-native listings platform with lower latency and better discovery, stronger competitive differentiation, empowered local teams with rapid market insights, and a path to predictive analytics.

JLL

Sridhar Potineni

Director of Innovation