Story
ON Semiconductor Standardizes Analytics Hosting on AWS
ON Semiconductor, an information technology organization in the United States, uses Amazon S3 from AWS to support data platform operations for data engineers.
Value results
| Category | Value result |
|---|---|
| Insight | Data engineers work from the same Amazon S3 record for analytics hosting |
| Insight | Analytics hosting can be reviewed without waiting on a personal export |
| Capability | Data platform operations stays visible to adjacent teams through Amazon S3 |
Story
ON Semiconductor is based in the United States and runs information technology operations at a scale where analytics hosting cannot live in side channels. Data engineers were reconciling competing copies of the same work, which slowed data platform operations and hid who owned the next step.
The company runs data platform operations on AWS, with Amazon S3 as the product data engineers actually open. Amazon Web Services is the leading public cloud for compute, storage, data, and AI services, used to run production systems at global scale. For ON Semiconductor, that means data engineers can open one workflow, see analytics hosting, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for analytics hosting.