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Informatica@Unisys

Unisys Standardizes Data Sharing on Informatica

Unisys, an information technology organization in the United States, uses Cloud Data Integration from Informatica to support partner data exchange for data platform and lines of business.

In the United States, Unisys relies on Informatica for partner data exchange.

“Information Technology work at Unisys spans more than one site, even when headquarters sits in the United States.”
“Data platform and lines of business asked for a shared way to run partner data exchange without freezing local judgment.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
ProductivityFewer stalled items because secure data sharing has a clear owner
Risk and complianceCloud Data Integration 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

Information Technology work at Unisys 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.

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. Unisys 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 The story is about operating change, not an unpublished percentage.

Value Graph

Unisys uses Informatica, F5, Google Cloud, Splunk, UiPath, Datadog, Elastic, PagerDuty. Shared with 1Password, AbbVie, Academy Sports, Accor, ACS Group. Industry: Information Technology. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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