Enterprise Intelligence

Customers could view real-time outage areas, estimated restoration times improved, and call center volumes dropped — yet the enterprise structure linking fault detection, crew dispatch, asset management, customer communications, and regulatory reporting was never modeled.

Operations centers could see DER output instantly, adjust grid controls faster, and generate compliance reports — yet the enterprise structure linking market participation, maintenance planning, demand response, customer engagement, and regulatory coordination was never modeled.

In Oil & Gas, a recurring pattern is treating digital twin projects as architecture work. Asset twins for rigs, pipelines, and refineries were piloted with promising simulation results — yet the enterprise structure linking engineering, maintenance, safety, and production remained unmodeled.

Trade capture, pricing, and risk systems were connected for faster data flow; latency was reduced, and reporting improved — yet the enterprise structure linking trading strategy, compliance, settlements, and operations was never modeled.

The Missing 70% What they built: a robust, well-structured architecture for field IT operations and supporting systems What they missed: the anatomical link between decisions, functions, investments, and execution across the full enterprise

By treating upstream, midstream, and downstream as separate units, companies struggle with inconsistent decision-making & inefficiencies