Contracted, provisioned and used power are three different numbers
Each lives in a different system with a different owner, so the answer to how much is left to sell depends on who you ask.
Data centres
Contracted power, used power and revenue in one reconciled view
Capacity, utilisation and contracted revenue joined per hall and per customer, so sales, operations and finance are working from the same picture of what is left to sell.
A data centre sells power and space under long contracts, and the gap between contracted, provisioned and actually drawn power is where the commercial questions live. That gap is usually spread across a DCIM system, a contract folder and a billing platform. We join them so available capacity is a number the sales team can trust, and so the economics of a customer are visible against the power they actually use rather than the power they signed for.
Discuss your operationWhat we usually find
The problems that come up in almost every one of these businesses.
Customer profitability ignores the power actually drawn
Billing follows the contract while cost follows consumption, and without the two joined the margin on a customer is an estimate.
Efficiency is reported as a single site-wide figure
PUE for the whole site tells you little about which hall, which customer or which change actually moved it.
Where we start
What the first engagement usually covers.
Scope depends on the state of your systems. These are the pieces that recur in this sector.
Capacity reconciliation
Contracted, provisioned and drawn power reconciled per hall, so remaining saleable capacity is one agreed figure.
Customer economics
Revenue against the power, space and cooling a customer actually consumes, including the cost of contracted headroom they never draw.
Efficiency at the level of the hall
Energy performance broken down far enough to attribute a change to a decision somebody made.
Commissioning pipeline
Capacity coming online set against the contracted pipeline, so sales and construction are planning from the same dates.
What changes
What is different afterwards.
You own all of it: the code, the written definitions and documentation aimed at whoever maintains this after us.
- One agreed figure for remaining saleable capacity
- Customer margin against power actually drawn
- Energy performance attributed per hall
- Sales pipeline aligned to commissioning dates
The builds behind it
Sector knowledge decides the order. The builds are the same four.
Single source of truth
Your finance, customer and operational records joined into one dataset, with each figure defined once and traceable back to the system it came from.
Analytics layer
Reporting built on top of the joined data, aimed at the few revenue and cost drivers that actually change the result.
Workflows
One defined task, automated inside a process that already exists, measured against whatever it replaced.
Financial modelling
Driver-based models built on the same definitions as your reporting, so the forecast and the actuals stop disagreeing.
Worth asking
Questions this tends to answer.
- How much saleable capacity is genuinely left?
- Which customers are profitable on the power they use?
- What is contracted headroom costing us?
- Will capacity arrive when the pipeline needs it?