In modern business applications, data models optimized for low-latency queries often hinder the ability to analyze trends, traditionally requiring data movement and transformation that lead to issues like latency and increased costs. Couchbase addresses this by providing an Analytics service that facilitates real-time trend reporting on production data without needing complex transformations. The text illustrates this with a case study of a customer using Couchbase to analyze high-end customer activity linked to a corporate loyalty program, where the existing document model was designed for interactive applications rather than reporting. The solution involved using N1QL for Analytics to query and unnest various hierarchical elements within the data model, enabling efficient analysis of fields scattered across different document sections. This method demonstrates the power of N1QL for handling complex data structures and providing swift insights without altering the original data architecture.