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MongoDB@CNOOC

CNOOC Uses Atlas Vector Search for Governed Analytics

CNOOC, an energy organization in China, uses Atlas Vector Search from MongoDB to support enterprise reporting for analysts and finance partners.

Value results

CategoryValue result
Risk and complianceAnalysts and finance partners work from the same Atlas Vector Search record for governed analytics
Risk and complianceGoverned analytics can be reviewed without waiting on a personal export
Risk and complianceNamed workflow replaces ad hoc routing for governed analytics

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

CNOOC 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 CNOOC 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

CNOOC uses MongoDB, Akamai, Proofpoint, Hexagon, Google Cloud, Microsoft Azure. Shared with 8x8, Abbott Laboratories, Amgen, Apollo, ArcelorMittal. Industry: Energy. Value: Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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