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How Datacor built self-service rental analytics with Amazon Quick Sight

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How Datacor built self-service rental analytics with Amazon Quick Sight

This post was written with contributions from Datacor’s TrackAbout engineering and product teams.

For gas and welding distributors, rental billing on assets such as cylinders and bulk tanks is a significant share of total revenue. Yet the data needed to manage those assets was often locked in disconnected systems, accessible only through IT. The resulting reports gave limited insight into fleet utilization, rate performance, or revenue recovery.

Datacor is a trusted source for proven software and expertise in process manufacturing, chemical distribution, and engineering. Its TrackAbout solution helps industrial gas and welding distributors track and manage cylinder and container assets across the supply chain. TrackAbout customers collectively manage 27.5 million assets and over 725,000 bills per month. At that scale, inaccessible data has a direct cost in unbilled rental days and revenue that never gets captured.

To solve this, Datacor integrated Amazon Quick Sight into the TrackAbout solution, equipping it with interactive dashboards and a natural language search bar. Amazon Quick Sight is the embedded analytics capability within Amazon Quick. The result is a self-service analytics experience where business users can explore rental performance data, ask natural language questions, and make data-driven decisions. Users no longer need to file IT tickets or wait for custom reports.

In this post, we describe how Datacor solved the challenge of rental data scattered across operational systems and accessible only through IT-generated reports. Datacor built an automated cross-cloud data pipeline, embedded dashboards, and natural language querying powered by generative business intelligence (BI) in Amazon Quick Sight.


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