Data Quality Scoring

SDX assigns every building a Data Quality Grade from A to F. This grade reflects how complete, comprehensive, and current your utility data is. Higher grades produce more reliable benchmarks and increase your Data Dividend.

Three dimensions

Data quality is evaluated across three independent dimensions, each scored from 0 to 100.

1. Completeness

Completeness measures whether all expected meter readings have been received for the reporting period.

  • What counts — A reading is expected for every active meter for every month (or billing period) in the trailing 12-month window.
  • Gaps — Missing months reduce the completeness score proportionally.
  • Example — A building with 12 of 12 monthly electricity readings and 10 of 12 gas readings has a completeness score of (12 + 10) / (12 + 12) = 91.7%.

2. Coverage

Coverage measures whether submitted meters account for the building's total consumption. SDX distinguishes between whole-building and partial metering.

  • Whole-building — All energy sources flowing into the building are metered. This is the gold standard.
  • Partial — Only some meters are present (e.g. electricity but not gas). Benchmarks can still be calculated but are flagged as partial.
  • Scoring — Coverage is scored based on the percentage of expected utility types that have at least one active meter.
ScenarioCoverage score
All utility types metered100
Electricity + gas, missing water67
Electricity only33

3. Freshness

Freshness measures how recently the most recent reading was received.

Last reading ageFreshness score
Within 30 days100
31–60 days80
61–90 days60
91–180 days40
181–365 days20
Over 365 days0

Composite grade

The three dimension scores are combined into a weighted composite:

Composite = (0.50 x Completeness) + (0.30 x Coverage) + (0.20 x Freshness)

The composite score maps to a letter grade:

Composite scoreGrade
90–100A
75–89B
60–74C
40–59D
20–39E
0–19F

Where grades appear

  • Building detail page — Each building shows its letter grade alongside the three dimension scores.
  • Portfolio dashboard — The aggregate grade is the area-weighted average of all buildings.
  • Benchmark scores — Buildings with a grade of D or below display a warning that results may be unreliable.
  • Data Dividend — Grade is a direct input to the dividend formula. See How It's Calculated.

Improving your grade

  • Fill gaps — Upload historical data for missing months to raise completeness.
  • Add meters — Register gas, water, and district energy meters — not just electricity — to raise coverage.
  • Automate — Connect automated feeds so freshness stays high without manual effort. See Submitting Data.

Grade history

SDX stores a monthly snapshot of every building's data quality grade. You can view the grade trend on the building detail page under Data Quality > History. This helps you track improvement over time and diagnose any dips.

Next steps