Case Study: Nielsen achieves scalable AI-driven analytics and accelerated innovation with Databricks

Nielsen - Customer Case Study

Nielsen, a global leader in audience measurement and market insights, needed to modernize its technical infrastructure to do big data and machine learning at scale. Their legacy systems couldn’t handle massive volumes of data, access was fragmented across disparate systems, data scientists lacked Apache Spark expertise, and long R&D-to-production cycles and cumbersome ETL made analysis slow and error-prone.

Databricks delivered a unified, fully managed multi-cloud analytics platform with automated cluster management, multi-language notebooks, unified batch and streaming support, and integrations with deep learning frameworks. The platform increased collaboration and productivity, accelerated performance and deployment, improved scalability, and helped drive Nielsen’s AI strategy—transforming how teams work and enabling faster innovation.

Nielsen

Mainak Mazumdar

Chief Research Officer