Data Lake / Data Warehouse Modernization · Marketing Personalization · Predictive Maintenance
However, fragmented systems and limited access to IoT data made it difficult to scale these initiatives.
Reported impact
TK Elevator achieved measurable business impact on Databricks, including 30+ Countries on one Data Lake enterprise + loT, basis for all use cases; 20,000+ Maintenance tickets generated annually by Digital Operations Centers; TKE collects more than 500 million telemetry events per day from connected elevators worldwide..
In parallel, TKE aimed to modernize its Digital Operations Center (DOC) by turning insights from MAX, its IoT and predictive maintenance platform, into actionable guidance for field technicians. For example, a technician might receive a recommendation such as “inspect the door on the 5th floor” or “check sensor alignment,” tailored to each elevator’s condition. This approach reduces repeated service calls and ensures technicians arrive on-site with the information needed to resolve issues efficiently. Over time, these insights are designed to help prevent systemic issues and improve overall service quality. TKE also sought to deliver value to customers through a self-service digital portal, providing access to operational status, service history and equipment information.
IoT telemetry and operational data is ingested via Lakeflow Connect and is transformed into curated datasets
20,000+ Maintenance tickets generated annually by Digital Operations Centers
30+ Countries on one Data Lake enterprise + loT, basis for all use cases
Keeping people and businesses moving requires more than just elevators — it demands reliable, data-driven operations.
TK Elevator (TKE), one of the world’s largest providers of elevators, escalators and vertical transportation systems, is helping cities and buildings move beyond traditional mobility.
TKE collects more than 500 million telemetry events per day from connected elevators worldwide.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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