Story
Qlik
SonosSonos Brings Feature Pipelines onto Qlik
Sonos, a consumer discretionary organization in the United States, uses Talend from Qlik to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Applied machine learning stays visible to adjacent teams through Talend |
| Capability | Data scientists and ML engineers work from the same Talend record for feature pipelines |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
Story
Consumer Discretionary work at Sonos spans more than one site, even when headquarters sits in the United States. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.
Qlik (Talend) is what they standardized on. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. Sonos uses it as the system of record for feature pipelines, with data scientists and ML engineers as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
