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storyFranceHealth CareProductivityRisk and complianceCapability

Story

Qlik@Sanofi

Sanofi Standardizes Data Sharing on Qlik

Sanofi, a health care organization in France, uses Qlik Sense from Qlik to support partner data exchange for data platform and lines of business.

Qlik Sense became the place Sanofi uses to share live datasets with partners without copying files around.

“Health Care work at Sanofi spans more than one site, even when headquarters sits in France.”
“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 complianceQlik Sense 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

Health Care work at Sanofi spans more than one site, even when headquarters sits in France. 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.

Qlik (Qlik Sense) is what they standardized on. Qlik provides analytics and data integration software, including Qlik Sense and Talend, for interactive analysis and pipelines. Sanofi 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 The story is about operating change, not an unpublished percentage.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

Sanofi uses Qlik, SAP, Cartesia, Salesforce, CyberArk, Palo Alto Networks, Fortinet. Shared with Air India, Alcoa, Aldi, Asahi Group, Astellas. Industry: Health Care. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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