Do service providers complete the work you’re paying them for? Which providers are the most expensive? Are these partners doing everything they promised?

The right metrics can help you determine the value and ROI of third-party relationships with companies that provide services like pest control, janitorial, security, landscaping, parking, and AV.

You can also use CRE metrics to identify below- and above-average service providers and pinpoint which provide the best response time, quality, and cost. With this data, you can make informed decisions about which partners are worth the investment—and which providers need to step up performance and service in certain areas (cost, time spent on-site, etc.).

Instead of waiting for equipment to break and responding accordingly, predictive modeling supports a proactive approach to portfolio and asset health. It uses historical and real-time data and analytics to help you understand the condition and performance of assets and predict mechanical failure based on previous patterns or common early indicators (increased energy use or inconsistent motor speeds, for example).

Predictive modeling-based metrics can decrease unplanned downtime, reduce equipment damage, and eliminate time and money spent on unnecessary repair or replacement as well as prevent situations that negatively impact employee satisfaction.

JLL Technologies combines its strong real estate understanding, technical business intelligence, and analytical skills to create unique solutions that provide insights to solve your operational challenges.

We’ll help you establish a clear view of real-time CRE performance, leverage analytics to benchmark and improve operations, and use BI to optimize your maintenance and service programs.

Ready to talk to a real estate analytics expert? Contact us.