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Story

Dataiku@Mott MacDonald

Mott MacDonald Brings Data Sharing onto Dataiku

Mott MacDonald, an industrials organization in the United Kingdom, uses MLOps from Dataiku to support partner data exchange for data platform and lines of business.

Value results

CategoryValue result
ProductivityFewer stalled items because secure data sharing has a clear owner
ProductivityHandoffs in partner data exchange sit in a shared queue instead of a mailbox trail
Risk and complianceMLOps is the governed place data platform and lines of business use for partner data exchange

Story

Industrials work at Mott MacDonald spans more than one site, even when headquarters sits in the United Kingdom. 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. Mott MacDonald 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 The story is about operating change, not an unpublished percentage.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

Mott MacDonald uses Dataiku, Datadog, Cisco, Wiz, Autodesk, Palo Alto Networks. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. Industry: Industrials. Value: Productivity, Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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