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Informatica@L'Oreal

L'Oreal Adopts Informatica for Applied Machine Learning

L'Oreal, a consumer staples organization in France, uses Data Quality from Informatica to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
CapabilityData scientists and ML engineers work from the same Data Quality record for feature pipelines
CapabilityFeature pipelines can be reviewed without waiting on a personal export
CapabilityNamed workflow replaces ad hoc routing for feature pipelines

Story

L'Oreal did not need another dashboard that nobody opened. It needed applied machine learning to move. In France, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.

Data Quality from Informatica is now in that path. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.

L'Oreal can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.

Relationship map

L'Oreal uses Informatica, HubSpot, Okta, Tenable, OpenAI, Twilio, Snowflake. Shared with 1Password, AbbVie, Academy Sports, Accor, ACS Group. Industry: Consumer Staples. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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