Case Study: EY-Parthenon achieves faster, scalable M&A insights with Databricks

A Databricks Case Study

Preview of the EY-Parthenon Case Study

Accelerating client strategy success with AI-powered insights

EY-Parthenon, a strategy and advisory firm handling thousands of high-stakes M&A engagements each year, was struggling to turn large volumes of structured and unstructured client data into timely insights. Before using the Databricks Data Intelligence Platform, key information was trapped in PDFs and spreadsheets, and extracting it could take weeks.

With Databricks Mosaic AI and related tools, EY-Parthenon built an AI-powered platform to automate document processing and KPI extraction at scale. Databricks helped reduce data collection, sanitization, and analysis from weeks to hours, enabling faster client delivery, more differentiated benchmarks across thousands of engagements, and new opportunities for customized advisory services.


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EY-Parthenon

Tony Qui

Global Innovation Leader, Strategy and Transactions


Databricks

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