Data Coverage Metrics in Scaler

Understanding data coverage is essential for accurately benchmarking performance, assessing data quality, and preparing your portfolio for reporting.

Scaler provides two complementary data coverage metrics—one aligned with GRESB for reporting consistency, and one designed specifically for data completeness and QA within the platform.

GRESB-Aligned Data Coverage

Used across analytics, dashboards, exports, and any reporting format aligned with the GRESB methodology or frameworks that do not specify their own data coverage rules.

Scaler Data Coverage

A more granular meter-level metric used exclusively in the Data Collection Portal to support detailed QA, validation, and gap detection. Always clearly labeled as “Scaler” wherever it appears.

Quick Guide: Data Coverage in Scaler

This short guide highlights the key differences between GRESB Data Coverage and Scaler Data Coverage, when each is used, and the fastest steps to reach complete coverage. Refer to the Full Guide for more detail.

1. GRESB Data Coverage (For Reporting & Analytics)

Where it’s used:

Analytics Portal (Portfolio & Asset views)

Scores → GRESB

GRESB Real Estate Asset Spreadsheet

Data exports (gresb_data_coverage fields)

How it’s calculated:

Area Coverage = Highest % area coverage among electricity, DHC, fuels

Time Coverage = Widest single date range across all energy meters

GRESB Data Coverage = Area × Time

Key notes:

GRESB accepts one date range per asset

Only annual, aggregated consumption is reported

Meter-level detail is not included in the spreadsheet

Best for:

External reporting, benchmarking, high-level performance metrics.

2. Scaler Data Coverage (For Data Quality & Gap Detection)

Where it’s used:

Data Collection Portal only

(Asset Table, Meter List, Meters & Consumption)

How it’s calculated:

Floor Area Coverage (using covered areas of active meters)

Time Coverage (daily completeness per meter)

Scaler Data Coverage = Floor Area Coverage × Time Coverage

Key notes:

Fully meter-level

Includes on-site renewable electricity

Highlights partial or missing consumption periods

Assumes no meter overlap within an Area Type

No annual aggregation — based on daily values

Best for:

Identifying missing data, completing meters, improving QA.

How to Reach 100% Scaler Data Coverage

Step 1 — Fix Area Coverage

Ensure Active meters cover 100% of:

Whole building

Tenant + Common area

Add “ghost meters” to represent uncovered areas

View gaps in

Data Collection Portal → Asset Table → Energy — Area coverage

Step 2 — Fix Time Coverage

Every meter must have data for every day in the reporting period

Fill gaps via:

Meter List (sort by Time coverage)

Asset → Meters & Consumption view

Prioritize meters with the largest Covered area

Choosing the Right Metric

Use Case	Metric
Submitting GRESB	GRESB Data Coverage
Analytics dashboards	GRESB Data Coverage
Completing missing data	Scaler Data Coverage
QA checks	Scaler Data Coverage
Diagnosing meter gaps	Scaler Data Coverage

In One Sentence

GRESB Data Coverage = high-level, annual, resource-type coverage for GRESB reporting and Scaler Analytic graphs.

Scaler Data Coverage = detailed, meter-level QA coverage for data completeness.

Full Guide: Data Coverage in Scaler

This guide provides a comprehensive breakdown of how data coverage is calculated in Scaler—both for GRESB reporting and for meter-level QA.

GRESB-Aligned Data Coverage

Where GRESB Data Coverage Is Used in Scaler

Analytics Portal

Portfolio Overview, Portfolio Analytics, Asset Overview, Asset Analytics

Applies to Energy, GHG Emissions, Water, and Waste

Drives data coverage graphs and related KPIs

Scores > GRESB

Visualizations and calculations follow GRESB’s coverage methodology.

Data Collection Portal

Within Asset > Edit > Meters & Consumption wherever data coverage is shown and labeled “Data coverage (GRESB)”

Reports & Exports

GRESB Real Estate Asset Spreadsheet

Data Exports with calculated metrics prefixed gresb_data_coverage

GRESB Data Coverage Methodology

Data Coverage = Area Coverage × Time Coverage

1. Area Coverage

The greatest percentage of floor area covered across all three GRESB energy categories:

Electricity

District Heating & Cooling (DHC)

Fuels

Example:

If fuel meters cover 10% but electricity meters cover 100%, area coverage = 100%.

2. Time Coverage

The widest continuous date range across all energy meters (electricity, DHC, fuels) expressed as a percentage of the reporting period.

GRESB requires one single date range per asset, even if actual meters have different or partial periods.

💡

Important GRESB Note

In the GRESB Asset Spreadsheet, Scaler reports the widest available date range across all energy meters.

Example:

Natural gas: Jan–Jun

Electricity: Jul–Dec

→ Scaler reports Jan–Dec as time coverage.

This may appear more complete than expected. If you need to adjust coverage boundaries, contact Account Operations for assistance updating meter area coverage.

GRESB Methodology Constraints

Only one date range may be reported per asset.

Annual totals only — no meter-level reporting allowed.

Aggregation must be per resource category (Electricity, DHC, Fuels).

Scaler Data Coverage (Meter-Level)

Scaler Data Coverage provides a highly granular view of consumption completeness, designed to surface issues that aggregated methodologies (like GRESB) cannot detect.

This metric appears only in the Data Collection Portal.

Where Scaler Data Coverage Appears

In the Data Collection Portal, Scaler Data Coverage appears in:

Asset Table → “Data coverage (Scaler)” columns

Asset Edit View → Meters & Consumption tables

Meter List → Time coverage column (per meter)

Calculation Methodology

Scaler Data Coverage = Floor Area Coverage × Time Coverage

Scaler Methodology Details

Purpose of Scaler Data Coverage

How to Reach 100% Scaler Data Coverage

Scaler Data Coverage is based on two dimensions:

Scaler Area Coverage

Scaler Time Coverage

Both must reach 100% for an asset to achieve full Scaler coverage.

1. Achieving 100% Scaler Area Coverage

Ensure active meters cover 100% of the floor area for:

Whole building, or

Common area + Tenant area

Steps

Go to: Data Collection Portal → Asset-level View → Overview → Asset Table

Sort Energy – Area coverage (set metric to Scaler)

Edit the asset → Open Meters & Consumption

Review coverage per area type

Add meters to represent missing floor area

Even without consumption data

(You Account Operations Manager may refer to these as ghost meters)

💡

When the total of all Covered areas = total area type floor area → Scaler Area Coverage = 100%

2. Achieving 100% Scaler Time Coverage

Every meter must have consumption recorded for every day of the reporting period.

Portfolio-Level Approach

Go to: Data Collection Portal → Asset-level View → Meter List

Sort the Time coverage column

Open the meter’s Consumption Drawer

Fill missing daily values

💡

Filtering Tips

Prioritize Landlord-controlled meters — usually easier to complete

Sort by Covered area to find meters with the greatest impact on coverage

Asset-Level Approach

Data Collection Portal → Asset-level View → Overview → Asset Table

Sort Energy – Time coverage (metric: Scaler)

Edit asset → Check Scaler Time coverage per meter

Fill missing data via the consumption drawer

⚠️

Scaler Data Coverage = 100% only when:

All relevant area types have 100% area coverage, AND

All meters have 100% time coverage

GRESB vs. Scaler Data Coverage

Aspect	GRESB Data Coverage	Scaler Data Coverage
Used in	Analytics, Reports, GRESB Spreadsheet	Data Collection Portal only
Granularity	Resource category level (Electricity, DHC, Fuels)	Meter level
Area Coverage	Highest % area coverage among all energy types	- Weighted by meter-covered area, capped at floor area per type - Includes on-site renewable electricity
Time Coverage	Widest single date range across all energy meters	Weighted average of days with data per meter, adjusted for ownership period
Aggregation Method	Annual, aggregated per energy type	Daily, meter-level input
Allowed Overlaps	Not considered — assumes a single period for all energy types	Fully considered — Assumes non-overlap in meters within each `Area type`
Calculation Logic	`Area Coverage × Time Coverage` (loosely applied)	`Floor Area Coverage × Time Coverage` (precisely applied)
Data Reporting Format	Annual totals, one set of values per resource type	Daily entries, per meter
Consumption Gaps	Not visible unless all types have low coverage	Clearly flagged at the meter level
Purpose	External benchmarking (GRESB submission)	Internal QA and data completeness diagnostics