Story
Informatica
Unilever PLCUnilever PLC Uses Master Data Management for Feature Pipelines
Unilever PLC, a consumer staples organization in the United Kingdom, uses Master Data Management from Informatica to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in applied machine learning sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Master Data Management is the governed place data scientists and ML engineers use for applied machine learning |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Inside Unilever PLC, applied machine learning used to depend on whoever still had the latest file. That pattern is common in consumer staples groups working out of the United Kingdom. Data scientists and ML engineers needed a system that would still make sense after the original project team moved on.
Unilever PLC uses Master Data Management from Informatica as the working layer for feature pipelines. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. The practical change is simple: applied machine learning has a home, and reviews happen there instead of in a forwarded thread.
Nothing in this writeup invents a savings number. What Unilever PLC gets from Informatica is a durable place to run applied machine learning and a way for data scientists and ML engineers to see the same feature pipelines at the same time.
