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Databricks@SC Johnson

How SC Johnson Runs Partner Exchange on Unity Catalog

SC Johnson, a consumer staples organization in the United States, uses Unity Catalog from Databricks 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
CapabilityNew joiners can see how partner data exchange actually runs

Story

SC Johnson is based in the United States and runs consumer staples 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 Databricks, with Unity Catalog as the product data platform and lines of business actually open. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. For SC Johnson, 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

SC Johnson uses Databricks, Qlik, monday.com, OpenText, Fortinet, UiPath, VMware. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Consumer Staples. Value: Productivity, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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