What a usage data record contains
Here is a concrete example. One usage data record might say:Meter #A12345 at 123 Main Street used 5,200 kWh of electricity from January 1 through January 31, 2024, at a cost of $780.00.Every usage data record includes these key fields:
Tenant usage vs raw usage
In most cases, tenant usage and raw usage are the same number. The distinction only matters when you occupy a shared building. When it matters: Imagine you lease 40% of a 10-story office building. The whole building’s electricity meter reads 10,000 kWh for the month. But you only want to report your share.
Tenant usage is the number that appears in your analytics, exports, and carbon reports. If your site does not have an occupancy percentage set, or if the occupancy setting is off, tenant usage equals raw usage.
To configure occupancy for your site, see Occupancy adjustment. For the connection-level checkbox, see Connections — Multiply by occupancy.
Estimated usage data
If Nectar could not extract exact numbers from a bill — maybe the PDF was blurry or the bill format was unusual — you can enter the usage data manually and mark it as estimated. Estimated records work just like regular records in analytics and exports, but the estimated flag lets anyone looking at the data know the values are approximations. This is also useful for filling in gaps. If you know a building used approximately 4,500 kWh in March but the bill hasn’t arrived yet, you can create an estimated record to keep your reports complete. When the real bill comes in, replace the estimate with the actual number. See Glossary — Estimated data for the definition.Commodity-specific fields
Different utility types have additional fields specific to their commodity. These are filled in automatically when Nectar processes a bill. For definitions of electricity demand, time-of-use tiers, net metering, gas types, water types, waste streams, fuel types, and more, see the Glossary — Commodities and Energy Types section.Additional data fields
Some usage data records include extra metadata that does not fit into the standard fields above. These are stored as additional data fields — free-form key-value pairs attached to a usage record. Common examples include:- Process type — the operational process the meter serves (e.g., “Bldg Heat,” “Powder Coat,” “Heat Treat”)
- Department or cost center — which part of the organization the usage belongs to
- Sub-meter classification — any custom label parsed from the utility bill
Emissions data
Each usage data record can have associated emissions information — CO₂e totals, emission factors, and emissions methodology notes. For definitions and context, see Glossary — Carbon and Emissions Reporting.How edits affect your reports
When you edit a usage data record, the changes show up across the platform immediately:FAQ
Why does my usage look wrong?
Why does my usage look wrong?
There are several common causes. The bill PDF may have been hard to read, leading to incorrect
extraction — compare the usage data against the original bill. The meter’s identifiers might be
wrong, causing data from a different meter to appear here. Or the occupancy adjustment might be
applied unexpectedly (or not applied when it should be). Start by opening the bill and comparing
the extracted data to the source document.
What's the difference between tenant usage and raw usage?
What's the difference between tenant usage and raw usage?
Raw usage is the full consumption amount on the bill — the total for the whole building or
meter. Tenant usage is your share of that total, adjusted by your occupancy percentage. If
you occupy 100% of the building (or no occupancy percentage is set), the two numbers are
identical. The difference only matters for shared or multi-tenant buildings.
How do I fix incorrect usage data?
How do I fix incorrect usage data?
Open the bill that contains the usage data and navigate to the Usage tab. You can edit the
consumption value, cost, service dates, and other fields directly. Your changes take effect
immediately in analytics. If the entire record is wrong, you can exclude it and create a new
manual entry with the correct values from Data Input > Manual Entry.
Can I add usage data that Nectar didn't extract?
Can I add usage data that Nectar didn't extract?
Yes. You can add usage data manually through the bill detail page (Usage tab > Add usage
data) or through the manual data entry flow in Data Input > Manual Entry. Manually entered
data works exactly like automatically extracted data in analytics, exports, and carbon
calculations.
Does editing usage data affect past exports?
Does editing usage data affect past exports?
No. Exports that have already been downloaded reflect the data as it was at the time of export.
If you edit usage data after exporting, the old export file will not change. To get an export
with the corrected data, run the export again.