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Dataiku@Jeld-Wen

Jeld-Wen Modernizes Data Sharing with Dataiku

Jeld-Wen, an industrials organization in the United States, uses Dataiku 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 complianceDataiku 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

Jeld-Wen is based in the United States and runs industrials operations at a scale where secure data sharing cannot live in side channels. Data platform and lines of business were reconciling competing copies of the same work, which slowed partner data exchange and hid who owned the next step.

The company runs partner data exchange on Dataiku, with Dataiku as the product data platform and lines of business actually open. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. For Jeld-Wen, that means data platform and lines of business can open one workflow, see secure data sharing, 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 secure data sharing.

Relationship map

Jeld-Wen uses Dataiku, Snowflake, Asana, Netskope, Elastic, Siemens Digital Industries Software, Smartsheet, PTC, MongoDB, Oracle. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. Industry: Industrials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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