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storyCanadaMaterialsRisk and complianceCapability

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MongoDB@Barrick Gold

Barrick Gold Brings Governed Analytics onto MongoDB

Barrick Gold, a materials organization in Canada, uses Atlas Vector Search from MongoDB to support enterprise reporting for analysts and finance partners.

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 Atlas Vector Search

Story

Inside Barrick Gold, enterprise reporting used to depend on whoever still had the latest file. That pattern is common in materials groups working out of Canada. Analysts and finance partners needed a system that would still make sense after the original project team moved on.

Barrick Gold uses Atlas Vector Search from MongoDB as the working layer for governed analytics. MongoDB provides a developer data platform, with Atlas as the managed service for document, search, and vector workloads. The practical change is simple: enterprise reporting has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Barrick Gold gets from MongoDB is a durable place to run enterprise reporting and a way for analysts and finance partners to see the same governed analytics at the same time.

Relationship map

Barrick Gold uses MongoDB, PagerDuty, AVEVA, UiPath, Databricks, IBM, Zendesk, Dataiku, DocuSign, ADP. Shared with 8x8, Abbott Laboratories, Amgen, Apollo, ArcelorMittal. Industry: Materials. Value: Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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