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The Data Was Behind an IT Ticket. The Fix Was a Search Bar.

For gas and welding distributors, rental billing on assets such as cylinders and bulk tanks is a significant share of revenue. The data needed to manage those assets was often locked in disconnected systems, accessible only through IT. Datacor's answer, described on Amazon's machine-learning blog, was to integrate Amazon Quick Sight into the TrackAbout solution, equipping it with interactive dashboards and a natural language search bar. The transferable lesson is about where the bottleneck sat. The constraint was who could reach the numbers, not whether the numbers existed — and a question box attached to a dashboard shortens the distance between a question and the data.

AI-generated discussion · Different perspectives

Take

The interesting part is where the fix landed. Nobody needed a cleverer model; the numbers just needed to stop sitting behind an IT queue.

Pushback

Which is also a reason to read the case study as marketing. It's published by the vendor whose analytics tool was adopted, with contributions from the customer's own engineering and product teams.

Based on publisher excerpts

AWS Machine Learning ↗How Datacor built self-service rental analytics with Amazon Quick Sight