A North American midstream energy company operated with fragmented operational systems and minimal analytics capabilities. Critical operational, commercial, and asset data lived in isolated applications, restricting visibility into pipeline performance, throughput, and operational risk. Leadership needed a scalable, modernized data foundation to unify operations, reduce decision latency, and accelerate digital transformation across the midstream value chain.
We helped create a transformed analytics environment that enabled real-time operational insight, faster decision-making, and a scalable platform for continuous innovation:
Delivered a modern cloud-based data platform enabling real-time operational insights across the midstream value chain
Reduced decision latency by 60%, improving response time to deviations and throughput changes
Enabled predictive analytics capabilities that enhanced reliability and operational planning
Created a scalable foundation for ongoing modernization and digital innovation
THE SITUATION: The company managed a geographically distributed network of pipelines, terminals, and storage assets. Legacy SCADA, historian, and commercial systems provided limited integration, making it difficult to produce timely, accurate insights. Reporting cycles were slow, data quality was inconsistent, and governance was nearly nonexistent. As market and regulatory demands increased, the organization could no longer rely on manual workflows or outdated analytics to ensure safe and efficient operations.
THE PROBLEM: The midstream operator faced major data, governance, and visibility challenges that limited operational awareness and modernization efforts, including:
Disparate legacy systems creating inconsistent and inaccessible data
Limited to no centralized cloud environment to integrate operational, commercial, and asset data
Lack of governance frameworks preventing reliable reporting and cross-functional analytics
Limited ability to support real-time insights or advanced analytics use casesNo predictive insight into peak congestion or scheduling conflicts
The Frame Solution
Delivered an enterprise-grade data transformation program that modernized the operator’s analytics foundation and created the real-time visibility required for safer, more efficient operations. Our approach unified data, established governance, and leveraged change management to enable advanced analytics capabilities across midstream workflows.
Delivered an enterprise data transformation program modernizing the company’s analytics foundation
Built a cloud data platform for centralized ingestion, storage, and processing of operational and commercial data
Implemented governance frameworks covering metadata, data quality, access controls, and lineage
Provided advanced analytics including real-time monitoring, anomaly detection, and predictive models
