Case Study: IHS Markit achieves faster actionable analytics with EPAM Systems

How EPAM Created an Actionable Data Delivery & Analytics Platform for IHS Markit

IHS Markit, a global provider of information, analytics, and data solutions, needed a faster, more scalable way to turn massive oil, gas, and energy data sets into actionable insights for customers. To meet demand for near real-time analytics, the company partnered with EPAM Systems to modernize its data platform and deliver more robust dashboards and forecasting capabilities on AWS, using tools including Snowflake, OmniSci, and serverless computing services.

EPAM Systems built the solution in phases, reimagining the data pipeline with AWS Lambda, AWS Fargate, AWS Step Functions, Amazon S3, Amazon ECS, and Amazon FSx for Lustre to support high-volume, GPU-accelerated analytics and integrated data sources. The result was a cloud-based platform designed for 100 concurrent users, with most hot-load queries returning in under 100 milliseconds, and a new foundation for future predictive analytics, including planned well production forecasting with Amazon SageMaker.

IHS Markit

Ali Sangster

VP Analytics Strategy