As building operations become increasingly data-driven, property and facility teams are re-evaluating how they manage the reliability of critical systems such as elevators. Traditional maintenance approaches often rely on scheduled service and reactive response, limiting visibility into performance issues that contribute to downtime and service disruptions.
This session examines how operational data and real-time system insights are changing the way elevator reliability is managed. Attendees will learn how increased visibility into performance trends can support earlier issue detection, improve maintenance planning, and reduce unplanned downtime. The session also explores how more informed decision-making around elevator operations can contribute to a more consistent tenant experience and stronger portfolio-level oversight.
By using elevators as a practical case study, this presentation highlights how data-driven strategies are transforming building operations and helping teams move from reactive response to proactive performance management.
Learning Objectives—At the end of the session, participants will be able to:
- Understand how operational data and real-time performance insights are changing traditional approaches to elevator reliability and maintenance oversight.
- Identify common causes of elevator downtime and service disruptions, and recognize how increased system visibility can support earlier issue detection.
- Analyze how data-driven monitoring supports more informed maintenance planning, resource allocation, and operational decision-making.
- Apply a data-informed framework to evaluate elevator reliability across building portfolios and communicate performance insights to internal teams and leadership.
