MongoDB Atlas is being used to optimize business processes, gain visibility into metrics, and create automation routines in a customer relationship management (CRM) system. The company created an internal solution using MongoDB Atlas to streamline their own business operations, including revenue forecasting and data analysis. They leveraged the flexible schema concept, query language, and aggregation framework of MongoDB to build a scalable and efficient system. The solution uses serverless abstraction layers, connectors for BI, Atlas GraphQL API, and App Services wire protocol to access and manipulate data from other components. It also employs database triggers for propagating changes and generating data-driven events. By following key principles such as focusing on bringing in data in the form that makes sense for the business, applying transformations in the ETL process, and structuring MongoDB documents in a way that makes it clear which fields are owned by what producer, the company was able to build an efficient system that is easy to modify and extend.