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Story

Informatica@KKR

KKR Standardizes Feature Pipelines on Informatica

KKR, a financials organization in the United States, uses Cloud Data Integration from Informatica to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
ProductivityFewer stalled items because feature pipelines has a clear owner
Risk and complianceCloud Data Integration is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew joiners can see how applied machine learning actually runs

Story

Financials work at KKR spans more than one site, even when headquarters sits in the United States. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.

Informatica (Cloud Data Integration) is what they standardized on. Informatica is an enterprise data management platform for integration, quality, catalog, and master data across clouds. KKR uses it as the system of record for feature pipelines, with data scientists and ML engineers 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 The story is about operating change, not an unpublished percentage.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

KKR uses Informatica, Asana, Fiserv, Anaplan, Box, Dataiku, Snyk, SAP, Temenos, SS&C. Shared with 1Password, AbbVie, Academy Sports, Accor, ACS Group. Industry: Financials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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