Case Study: McGraw‑Hill Education achieves 19% higher student retention with Databricks Unified Data Analytics Platform

McGraw-Hill Education - Customer Case Study

McGraw‑Hill Education builds adaptive learning products from millions of anonymized student records but struggled with siloed data, slow ETL pipelines and high student abandonment that kept new products from launching on time and adaptive features from improving outcomes. The company needed more effective analytics and faster time‑to‑market to better engage and retain learners.

Using Databricks Unified Data Analytics Platform on AWS — with interactive notebooks, autoscaling Spark clusters and automated analytic workflows — McGraw‑Hill simplified infrastructure and sped up model development. The platform enabled analysis of more than 10 million interactions, boosting student retention by 19%, improving pass rates by 13%, delivering solutions more quickly to 5.5 million students, and cutting operational costs (TCO) by 30%.

McGraw-Hill Education

Alfred Essa

Vice President of Research and Data Science