Story
Cleveland-Cliffs Modernizes Event Streams with Dataiku
Cleveland-Cliffs, a materials organization in the United States, uses Dataiku from Dataiku to support real-time operations for platform engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Named workflow replaces ad hoc routing for event streams |
| Capability | Real-time operations stays visible to adjacent teams through Dataiku |
| Capability | Platform engineers work from the same Dataiku record for event streams |
Story
Cleveland-Cliffs grew event streams faster than the local tools around it. From the United States, materials teams still had to serve customers and internal partners who expected a straight answer. Platform engineers were the ones stitching the picture together by hand.
Rolling out Dataiku put real-time operations on Dataiku. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. Cleveland-Cliffs keeps the product in the path where work already happens, so platform engineers do not context-switch into a graveyard system used only for audits.
The visible result is steadier real-time operations. Event streams is easier to inspect, and adjacent groups can join platform engineers without a guided tour of someone's desktop.