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Data completeness represents the ratio of days with available utility data to the total number of days for which data is expected. This is a time-based metric that enables users to quickly understand the extent to which performance metrics represent complete data.
RatingData Completeness ValueGap Days over Reporting Period
Excellent97-100%Less than 12 Days
Good92-97%Between 12-20 Days
Passable83-92%Between 30-60 Days
Poor66-83%Between 60-120 Days
Very Poor0-66%More than 120 Days

How It’s Calculated

Data Completeness (%) is calculated at multiple levels:
  • Meter: Every meter has a data completeness (%) for each 12-month reporting period as well as for the entirety of the meter activation period (i.e. all-time).
  • Property: Every property has a data completeness (%) for each 12-month reporting period for each utility type and subtype aggregated across all meters, including:
    • Energy: Total Energy, Total Electricity, Total Fuel, Total District Heating & Cooling
    • Emissions: Total Emissions, Direct Emissions, Indirect Emissions, Scope 1/2/3 Emissions
    • Water: Total Water, Potable Water, Reclaimed Water, Well Water
  • Portfolio: Each portfolio presents data completeness (%) for each 12-month reporting period for each utility type and subtype aggregated across all properties.
Data Completeness = (Actual Days with Data / Expected Days with Data) × 100%

Meter-level Calculation

How data completeness (%) is calculated for an individual meter Example: The electric meter pictured below has data for all months in a 12-month reporting period except July and August. The property is owned and the meter is active is over all 12-months. Group 1000002821
  • Expected days with data = 365
  • Actual data with data = 303
  • Meter Data Completeness = 303 / 365 = 83%

Property-level Calculation

How data completeness (%) is calculated for at the property level Example: A property has 4 energy meters (3 electric; 1 fuel). The property is owned and all meters are active over all 12-months of the reporting period. Property Data Completeness Individual Meters
  • Electric Meter 1: Data Completeness = [303 / 365] = 83%
  • Electric Meter 2: Data Completeness = [306 / 365] = 84% (Note: February has 28 days)
  • Electric Meter 3: Data Completeness = [365 / 365] = 100%
  • Fuel Meter 1: Data Completeness = [184 / 365] = 50.4% (Note: 6-month end gap)
Property Level
  • Total Electricty Data Completeness = [303 + 306 + 365] / [365*4] = 89%
  • Total Fuel Data Completeness = 184 / 365 = 50.4%
  • Total Energy Data Completeness = [303 + 306 + 365 + 184] / [365*4] = 79.3%

Tracking Data Completeness

Abisko calculates and reports performance metrics with corresponding data completeness values throughout the platform to allow users to decide whether to report incomplete data as-is or address the issues to increase data completeness.

Property Level

View meter-level and property-level data completeness in multiple property locations. Navigate to Property → Data Quality
  • View a summary of data completeness (%) & data quality metrics by utility type and meter
Screenshot 2026 01 07 At 12 11 41 PM Navigate to Property → Annual Trends
  • View a summary of data completeness (%) & performance metrics by utility type
Screenshot 2026 01 07 At 12 15 06 PM Navigate to Property → Meters → Energy / Water / Waste
  • View all-time and reporting period data completeness (%) for every individual meter
Screenshot 2026 01 07 At 12 08 40 PM

Portfolio Level

View property-level and portfolio-level data completeness in multiple portfolio locations. Navigate to Property → Portfolio Trends → Energy / Emissions / Water
  • View portfolio-level data completeness (%) & performance metrics by utility type
Screenshot 2026 01 07 At 12 17 06 PM Navigate to Property → Property Trends → Energy / Emissions / Water
  • View data completeness (%) & performance metrics for each property by utility type
Screenshot 2026 01 07 At 12 18 36 PM

How-to Recording: Analyzing Data Completeness

See how to view data completeness across portfolios, properties and meters