Case study

Enabling Proactive Maintenance With Rocket® Vertica®

A global healthcare technology organization needed to move beyond reactive repairs and get ahead of equipment issues before they caused disruption. Here's how Rocket® Vertica® made proactive maintenance a reality.

Challenge

The organization's advanced equipment generated millions of daily events, but legacy systems weren't built for predictive maintenance, leaving valuable data underused and disruptions costly.

Solution

A centralized, petabyte-scale analytics platform powered by Rocket Vertica consolidated hundreds of data sources, enabling AI-driven models to detect anomalies early.

Results

The organization achieved a significant drop in downtime, resolved about half of all cases remotely, and reached a strong first-time fix rate on-site.

Company

Industry: Healthcare Technology

This global healthcare technology organization delivers solutions across medical imaging, diagnostics, monitoring, and digital health. Operating at scale worldwide, it manages highly sensitive data across tightly regulated environments. 

Challenge

A large installed base of advanced equipment generated massive volumes of data that legacy systems weren't equipped to use for predictive maintenance. 

The organization's equipment fleet generates millions of events and hundreds of thousands of sensor readings daily. Strict regulations slow product development, and legacy systems didn't support predictive maintenance - leaving valuable data underutilized. Because unplanned downtime hurts operations and drives up costs, the organization set out to shift to proactive, data-driven maintenance. It consolidated data from multiple sources to enable real-time and historical analysis without disrupting service. 

 

Solution

A predictive maintenance platform built on Rocket Vertica consolidates data from hundreds of sources, powering AI-driven models that catch problems early.

The organization built an AI-powered predictive maintenance platform with Rocket Vertica at its core. It's fed by data from hundreds of sources, including system logs, real-time telemetry, and historical records, into a centralized, petabyte-scale analytics platform. With high-speed processing, predictive models quickly spot patterns, catch anomalies, and anticipate failures. The team models failure scenarios to schedule proactive maintenance, while automated alerts notify monitoring teams for rapid action. This globally scalable platform also meets regional data governance requirements, giving operations teams earlier visibility to make maintenance more efficient.

Results

Continuous monitoring powered by Rocket Vertica reduced downtime, improved reliability, and helped the organization catch issues before they escalated.

The predictive maintenance platform continuously monitors large volumes of system data from critical equipment. As a result, the organization achieved a significant reduction in equipment downtime, with fewer disruptions and improved service outcomes. The solution now supports remote diagnosis and resolution for around half of all maintenance cases, reducing the need for on-site visits, and when in-person intervention is needed, most issues are resolved on the first attempt. By catching potential disruptions before they cause service impact, the organization has lowered maintenance costs and delivered faster, more reliable outcomes.

Get started with Rocket Vertica

Discover how Rocket Vertica can help you move from reactive fixes to proactive, data-driven maintenance.

Featured product

Rocket® Vertica®

Analyze large amounts of enterprise data in real time with a high-performance analytics database built for AI, scale, and flexibility.

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