Services / 02

Consumption

A building’s day in data

Read the moments that matter.

Half-hourly records show when demand rises, settles and continues after closing. We read those patterns alongside the contract and invoice.

Half-hourly profile

Move through one operating day.

The shape is illustrative. Your assessment uses your meter records and states clearly where data is missing.

Overnight

Is equipment drawing power while the site is closed?

Meter data and technical readings used in consumption analysis — Meter record / contract / invoice

Three-way check

The pattern must reconcile with the paperwork.

Agreed capacity

Actual demand is read across a full year before any change is recommended.

Invoice lines

Standing charges, capacity, reactive power and non-commodity elements are checked against the signed contract.

How invoice validation works

Written findings

What the data shows, what needs checking and what you can decide next.

We do not estimate around missing records. Findings are tied to the data available, and invoice queries are recorded with the supplier.

Have an invoice set checked

The cheapest energy is the energy you don't use

See what the meters are actually doing, not just the total.

Buying well is half of it. The other half is what happens to the energy after it is bought.

Read beyond the monthly total
Half-hourly and AMR data read for the pattern behind the figure on the invoice.
Site-by-site reporting
Consumption reported site by site, so a change is seen where it happens.
Cross-checked against invoices
Usage data set against the invoice, so a read that does not match the meter is caught.
Evidence, not a guess
Decisions about contracts, capacity or plant are backed by data rather than an assumption.

Where it goes wrong, and what we do about it

How Omnium solves it
We read the half-hourly and AMR data behind the total, so a pattern that does not match how the site runs can be seen and questioned.
How Omnium solves it
Consumption is reported site by site, so a change in the pattern is flagged rather than lost inside a single annual figure.
How Omnium solves it
Buying well is half of it; we keep watching the meter data afterwards, because the other half of the cost is what the site actually does with the energy it buys.

What the meter data is checked for.

01
Half-hourly analysis
Interval data read as a pattern of use rather than a monthly total.
02
Waste identification
Consumption that does not match how the site is occupied, flagged for a look.
03
Site benchmarking
One site compared against another in the same estate on the same basis.

Read the detail

How to check this

Each claim on this page is answered by something you can read for yourself. Nothing below states a figure; it names the document or register the claim is held against.

Point 01
We hold a Level 1 Letter of Authority only
The authority wording sets out what we may do with your data and states that we cannot sign a contract on your behalf. Read it before you sign it.
Read the Letter of Authority
Point 02
How we are paid is agreed in writing before you sign
Our margin or management fee is stated in the terms that accompany a recommendation, and nothing is added afterwards.
Client terms and conditions
Point 03
Every figure we quote carries a dated source document
Records state the figure, what it is measured against, the document it is taken from and the date on that document. Records still held anonymous are labelled as such.
Evidence records
Point 04
Consumption figures come from meter and supplier data, not estimates
Where a reading is estimated or missing, the record says so rather than filling the gap.
How your bill is built up

Proof

What we have delivered, and who checks our work.

Each figure below is taken from our evidence record and has a full case study behind it.

Michels and Taylor
£206,000a year saved on procurement
Read the case study: Michels and Taylor
Broadening Choices for Older People
£161,000a year saved on gas, about £483,000 across a three-year term
Read the case study: Broadening Choices for Older People
Roam
Group rates10 per centlower than the previous brokered prices
Read the case study: Roam