Case Study: a global beauty and personal care brand achieves scalable data quality with Nagarro's LLM-powered autonomous agents

Global Beauty and Personal Care Brand reduces manual data quality effort with Nagarro

A global beauty and personal care brand sought to modernize and automate its data quality management as its enterprise data ecosystem grew in scale and complexity. The challenge was to accelerate data quality rule creation, reduce reliance on a small pool of domain experts, and ensure consistent governance. Nagarro addressed this need by implementing an AI-driven Data Quality Framework powered by LLM-based autonomous agents.

Nagarro's solution was a multi-agent AI framework that automates the discovery and generation of data quality rules by analyzing data patterns and business glossaries. This framework significantly reduced the manual effort required for defining rules and accelerated deployment cycles, allowing business teams to access reliable insights more quickly. The system provides a scalable, future-ready platform that continuously adapts to new data sources and schema changes.