Energy Sector Business Information Model

Built for the energy sector, this business information model identifies the core data entities behind asset, network, customer, and commodity data — what operations, engineering, and billing all depend on. Entities are grouped into foundational (reference and master data), transactional (operational and billing activity), and informational (asset performance and regulatory) categories, with the relationships between them mapped out. Delivered as an editable Word document.

Why Energy Assets Aren't a Simple Hierarchy

The core asset entity in energy isn't a flat "equipment" record — it's a network, with parent-child and geographic/electrical relationships that change whenever the network is reconfigured or switched, which makes it closer to a graph than a tree. Metering and billing need three separate entities, not one: the meter (the physical device, swapped out over time), the service point (the location or account being measured, which persists across meter swaps and rate changes), and the commodity being measured. Outages and interruptions relate to network topology rather than to a single customer or asset, so the affected service points have to be derived by tracing the hierarchy at the time of the event, not stored as a fixed relationship. On top of the physical asset model sits a second, parallel structure of tariffs, rate schedules, and interconnection agreements that vary by jurisdiction and have to map back to the physical network without duplicating it.

What's Inside

• Foundational entities — assets, network/grid hierarchy, service points, customers, contracts
• Transactional entities — meter reads, work orders, outages, billing transactions, field service activity
• Informational entities — asset performance, consumption and load data, regulatory and tariff data
• Entity relationships connecting physical network, commodity, and customer/billing data
• Editable Word format — adapt entities to your own asset and customer information systems

Practical Applications

• Scope master data management for asset, network, and service point data
• Align data architecture across SCADA/OT, asset management, and customer information systems
• Define integration requirements between metering, billing, and outage management platforms
• Support grid modernization and asset investment planning with a shared data reference

Intended Audience

Suited to data architects, business architects, and IT leaders at utilities and energy companies who need physical asset, network, and customer data modeled together rather than through a generic asset management template.