Story
MongoDB
S&P GlobalHow S&P Global Runs Partner Exchange on Atlas Search
S&P Global, a financials organization in the United States, uses Atlas Search from MongoDB to support partner data exchange for data platform and lines of business.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in partner data exchange sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Atlas Search is the governed place data platform and lines of business use for partner data exchange |
| Capability | New joiners can see how partner data exchange actually runs |
Story
Financials work at S&P Global spans more than one site, even when headquarters sits in the United States. Secure data sharing was splitting across regional habits. Data platform and lines of business asked for a shared way to run partner data exchange without freezing local judgment.
MongoDB (Atlas Search) is what they standardized on. MongoDB provides a developer data platform, with Atlas as the managed service for document, search, and vector workloads. S&P Global uses it as the system of record for secure data sharing, with data platform and lines of business 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 The story is about operating change, not an unpublished percentage.
