Story
How Mollie Runs Applied Machine Learning on Cloud Data Integration
Mollie, a financials organization in the Netherlands, uses Cloud Data Integration from Informatica to support applied machine learning for data scientists and ML engineers.
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 Cloud Data Integration |
| Capability | Data scientists and ML engineers work from the same Cloud Data Integration record for feature pipelines |
Story
Mollie is based in the Netherlands and runs financials operations at a scale where feature pipelines cannot live in side channels. Data scientists and ML engineers were reconciling competing copies of the same work, which slowed applied machine learning and hid who owned the next step.
The company runs applied machine learning on Informatica, with Cloud Data Integration as the product data scientists and ML engineers actually open. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. For Mollie, that means data scientists and ML engineers can open one workflow, see feature pipelines, 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 feature pipelines.