Case Study: a large multinational aerospace organization accelerates data access and AI innovation with Elastic

Large Multinational Aerospace Organization accelerates access to 2 million documents with Elastic

The customer, a large multinational aerospace organization, faced challenges with data sprawl and information silos, as critical engineering documentation was scattered across numerous sources like SharePoint and file shares. This made it difficult for engineers to find accurate and current information, leading to wasted time and duplicated efforts. They turned to Elastic and implemented a bespoke enterprise search application built on the Elasticsearch Platform to address this.

Using Elastic, the organization created a centralized search solution that unified over two million documents from more than 50 sources. The results were significant, with the application now supporting 30,000 searches monthly and drastically reducing manual information sharing. This accelerated engineers' access to critical data, enabling faster, better-informed decisions. Furthermore, Elastic provided a foundation for AI innovation, allowing the team to build retrieval augmented generation (RAG) prototypes for future AI-driven assistants.