Story
Qlik
KPMGKPMG Modernizes Feature Pipelines with Qlik
KPMG, an information technology organization in the United States, uses Qlik Cloud from Qlik to support applied machine learning for data scientists and ML engineers.
Data scientists and ML engineers at KPMG review feature pipelines in Qlik Cloud rather than in personal files.
“From the United States, information technology 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 |
|---|---|
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
| Capability | Applied machine learning stays visible to adjacent teams through Qlik Cloud |
| Capability | Data scientists and ML engineers work from the same Qlik Cloud record for feature pipelines |
Story
KPMG grew feature pipelines faster than the local tools around it. From the United States, information technology 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. KPMG 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.
