Story
Qlik
Asahi GroupAsahi Group Modernizes Feature Pipelines with Qlik
Asahi Group, a consumer staples organization in Japan, uses Qlik Cloud from Qlik to support applied machine learning for data scientists and ML engineers.
A Qlik Cloud rollout at Asahi Group took applied machine learning out of inboxes and into a named queue.
“From Japan, consumer staples teams still had to serve customers and internal partners who expected a straight answer.”
“Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Asahi Group grew feature pipelines faster than the local tools around it. From Japan, consumer staples teams still had to serve customers and internal partners who expected a straight answer. Data scientists and ML engineers were the ones stitching the picture together by hand.
Rolling out Qlik Cloud put applied machine learning on Qlik. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. Asahi Group keeps the product in the path where work already happens, so data scientists and ML engineers do not context-switch into a graveyard system used only for audits.
The visible result is steadier applied machine learning. Feature pipelines is easier to inspect, and adjacent groups can join data scientists and ML engineers without a guided tour of someone's desktop.
