Case Study: PNC Financial Services achieves enterprise-wide data science and faster model deployment with Anaconda

How PNC Financial Services Leveraged Anaconda to Enable Data Science and Machine Learning Capabilities Across the Company

PNC Financial Services, a banking and financial services corporation operating in 19 states, needed to move off a proprietary analytics stack and make Python a first‑class, enterprise‑grade tool for data science and machine learning. To support open source analytics while meeting IT requirements for security and governance, PNC evaluated vendors and selected Anaconda, adopting Anaconda Enterprise (backed by Anaconda Distribution) as the core platform to build an analytics competency center.

Anaconda Enterprise enabled PNC to port SAS code to Python, train data scientists, manage packages, and build, train, and deploy models across the bank via an ACC focused on community, training, support, enhancements, and package maintenance. Using Anaconda with PySpark on Hadoop cut runtimes from hours to minutes, broadened usage across departments (risk, MIS, marketing, HR), reduced software costs, and sped development and deployment—demonstrating measurable productivity and performance gains thanks to Anaconda.

PNC Financial Services