Case Study: Occidental Petroleum saves $4 million and 12 months with MongoDB Atlas

Occidental Petroleum saves $4 million with MongoDB Atlas

Occidental Petroleum (Oxy) faced the challenge of manually reviewing and classifying 1.5 million historical land-lease documents, a process that was projected to cost $4 million and take 18 months. To alleviate this manual effort, Oxy sought an automated solution and turned to MongoDB Atlas.

By building a multi-cloud, event-driven solution on MongoDB Atlas, Oxy automated the document processing pipeline. This system integrated AWS services and Azure AI to classify documents and extract key metadata. The implementation saved Oxy the entire projected $4 million and 12 months of development time. MongoDB's solution proved highly scalable, handling thousands of requests per second without issue.

Occidental Petroleum (Oxy)