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storyUnited StatesMaterialsRisk and complianceCapability

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Databricks@WestRock

WestRock Standardizes Governed Analytics on Databricks

WestRock, a materials organization in the United States, uses Unity Catalog from Databricks to support enterprise reporting for analysts and finance partners.

In the United States, WestRock relies on Databricks for enterprise reporting.

“Materials work at WestRock spans more than one site, even when headquarters sits in the United States.”
“Analysts and finance partners asked for a shared way to run enterprise reporting without freezing local judgment.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
Risk and complianceGoverned analytics can be reviewed without waiting on a personal export
Risk and complianceNamed workflow replaces ad hoc routing for governed analytics
CapabilityEnterprise reporting stays visible to adjacent teams through Unity Catalog

Story

Materials work at WestRock spans more than one site, even when headquarters sits in the United States. Governed analytics was splitting across regional habits. Analysts and finance partners asked for a shared way to run enterprise reporting without freezing local judgment.

Databricks (Unity Catalog) is what they standardized on. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. WestRock uses it as the system of record for governed analytics, with analysts and finance partners 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 The story is about operating change, not an unpublished percentage.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

WestRock uses Databricks, Fortinet, Hexagon, NVIDIA, Informatica, Siemens Digital Industries Software, IBM. Shared with AstraZeneca, Biogen, Grammarly, Hotels.com, Konica Minolta. Industry: Materials. Value: Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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