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storyUnited StatesConsumer StaplesProductivityRisk and complianceCapability

Story

Dataiku@Estee Lauder

How Estee Lauder Runs Partner Exchange on LLM Mesh

Estee Lauder, a consumer staples organization in the United States, uses LLM Mesh from Dataiku to support partner data exchange for data platform and lines of business.

Value results

CategoryValue result
ProductivityHandoffs in partner data exchange sit in a shared queue instead of a mailbox trail
Risk and complianceLLM Mesh is the governed place data platform and lines of business use for partner data exchange
CapabilityNew joiners can see how partner data exchange actually runs

Story

Consumer Staples work at Estee Lauder spans more than one site, even when headquarters sits in the United States. Secure data sharing was splitting across regional habits. Data platform and lines of business asked for a shared way to run partner data exchange without freezing local judgment.

Dataiku (LLM Mesh) is what they standardized on. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. Estee Lauder uses it as the system of record for secure data sharing, with data platform and lines of business as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Relationship map

Estee Lauder uses Dataiku, F5, Shopify, Informatica, AWS. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. Industry: Consumer Staples. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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