Story
Dataiku
Lowe'sLowe's Brings Data Sharing onto Dataiku
Lowe's, a consumer discretionary organization in the United States, uses MLOps from Dataiku to support partner data exchange for data platform and lines of business.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because secure data sharing has a clear owner |
| Productivity | Handoffs in partner data exchange sit in a shared queue instead of a mailbox trail |
| Risk and compliance | MLOps is the governed place data platform and lines of business use for partner data exchange |
Story
Consumer Discretionary work at Lowe's 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 (MLOps) 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. Lowe's 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 The story is about operating change, not an unpublished percentage.
