Monthly Dataset - Glossary - Basic Fields

The Monthly Dataset PowerReport allows you to build your own Power Report by utilizing predefined data fields.

This page lists all basic fields in the Monthly Dataset and their definitions.

For dynamic fields such as Data Type Groups, Intensity Ratios and Social Metrics, please refer to the Monthly Dataset Glossary - Dynamic Fields page.

For advanced fields related to specific modules, such as Custom Measures, Targets, Programs, Loction-Group Cross Filtering and Weather releated fields, please refer to the Monthly Dataset Glossary - Advanced Fields page.

Cost

Field	Description
Cost	Total Cost ^{Actual Cost + Accrued Cost + Estimated Cost}
Cost PY	Total Cost Previous Year
Cost Rolling 12mth Avg	Total Cost rolling 12 months average This field will display the average as at the last month available in the filtered dataset if no monthly variables are available
Cost TD	Total Cost To-Date This field will provide the cumulative total cost when used in a table with a calendar field or the sum of the total cost for the period being reported on if no calendar fields are used.
Cost Variance	Total Cost variance between current period and same period previous year ^{Cost - Cost PY}
Cost Variance %	Total Cost variance between current period and same period previous year ^{(Cost - Cost PY) / Cost PY 100}*
Subfolder : Cost Breakdown All values in this subfolder further breakdown the cost values into actual, estimated and accrued data.
Accrued Cost	Total Cost values generated in Envizi if accruals are available https://knowledgebase.envizi.com/home/accruals
Accrued Cost PY	Accrued Cost Previous Year
Actual Cost	Total Cost values captured in Envizi with Estimate flag set to No
Actual Cost PY	Actual Cost Previous Year
Estimated Cost	Total Cost values captured in Envizi with Estimate flag set to Yes
Estimated Cost PY	Estimated Cost Previous Year
Missing Cost	An approximation of the cost data missing in an account.
Subfolder : Unit in Global Currency All cost values in this table are converted to the global currency unit as defined for your organization
Accrued Cost Global	System generated accrued cost (only available if the Accrual feature is turned on)
Accrued Cost PY Global	Accrued Cost Previous Year
Actual Cost Global	Actual cost being captured in Envizi (with Estimate flag set to No)
Actual Cost PY Global	Actual Cost Previous Year
Cost Global	Total Cost - sum of Actual Cost, Accrued Cost and Estimated Cost
Cost PY Global	Total Cost Previous Year
Cost Rolling 12mth Avg Global	Total Cost rolling 12 months average
Cost TD Global	Total Cost To-Date - starting period is dynamic depending on visual filters
Cost Variance Global	Total Cost Variance between current period and previous year = Cost - Cost PY
Cost Variance % Global	(Cost - Cost PY) / Cost PY * 100
Estimated Cost Global	Cost captured in the system but being flagged as Estimate
Estimated Cost PY Global	Estimated Cost Previous Year

Emissions

Field	Description
Emission Variance	Total GHG Emissions variance between current period and previous year = Emissions - Emissions PY
Emission Variance %	(Emissions - Emissions PY) / Emissions PY * 100
Emissions	Total GHG Emissions = CH4 Emissions + CO2 Emissions + N2O Emissions
Emissions PY	Total GHG Emissions Previous Year
Emissions Rolling 12mth Avg	Total GHG Emissions Rolling 12 month average
Emissions TD	Total Emissions To-Date - starting period is dynamic depending on visual filters
Indirect Emissions	Indirect emissions such as Scope 3 upstream or downstream emissions which is associated with the same Scope 1 or Scope 2 activity data.
Indirect Emissions PY	Indirect Emissions Previous Year
Lifecycle Emissions	Total Lifecycle Emissions = Emissions + Indirect Emissions
Lifecycle Emissions PY	Total Lifecycle Emissions Previous Year
Market-based Emissions	Market-based Emissions of Electricity - available only when the Market-based reporting methodology has been set up in Envizi
Market-based Emissions PY	Market-based Emissions Previous Year
Normalized Emissions	Weather normalized emissions - available only when the regression model has been set up for the relevant account or meter
Subfolder : Emissions Breakdown All values in this subfolder further breakdown the emissions values into actual, estimated and accrued data and their respective GHG components
Accrued Emissions	Accrued Emissions Data
Accrued Emissions PY	Accrued Emissions Date Previous Year
Actual Emissions	Actual Emissions Data
Actual Emissions PY	Actual Emissions Data Previous Year
Estimated Emissions	Estimated Emissions Data
Estimated Emissions PY	Estimated Emissions Data Previous Year
CH4 Emissions	CH4 gas emissions in its equivalent CO2e amount
CH4 Emissions PY	CH4 Emissions Previous Year
CO2 Biogenic Emissions	BioCO2 gas emissions in its equivalent CO2e amount
CO2 Biogenic Emissions PY	BioCO2 Emissions Previous Year
CO2 Emissions	CO2 gas emissions in its equivalent CO2e amount
CO2 Emissions PY	CO2 Emissions Previous Year
N2O Emissions	N2O gas emissions in its equivalent CO2e amount
N2O Emissions PY	N2O Emissions previous year

Energy

Field	Description
Energy	Total Energy (consumed and produced) in the default reporting unit set for your organization
Energy PY	Total Energy Previous Year
Energy Rolling 12mth Avg	Total Energy Rolling 12 months average
Energy TD	Total Energy To-Date - starting period is dynamic depending on visual filters
Energy Variance	Total Energy variance between current period and previous year = Energy - Energy PY
Energy Variance %	(Energy - Energy PY) / Energy PY * 100
Normalized Energy	Weather normalized energy - available only when the regression model has been set up for the relevant account or meter
Subfolder : Energy Breakdown All values in this subfolder further breakdown the energy values into actual, estimated and accrued data
Accrued Energy	Accrued Energy Data
Accrued Energy PY	Accrued Energy Data Previous Year
Actual Energy	Actual Energy Data
Actual Energy PY	Actual Energy Data Previous Year
Estimated Energy	Estimated Energy Data
Estimated Energy PY	Estimated Energy Data Previous Year
Accrued Energy in kWh	Accrued Energy in kWh Data
Accrued Energy in kWh PY	Accrued Energy in kWh Data Previous Year
Actual Energy in kWh	Actual Energy in kWh Data
Actual Energy in kWh PY	Actual Energy in kWh Data Previous Year
Estimated Energy in kWh	Estimated Energy in kWh Data
Estimated Energy in kWh PY	Estimated Energy in kWh Data Previous Year
Subfolder : Unit in kWh All energy values in this sub folder are converted from their native units to kWh
Energy in kWh	Total Energy (consumed and produced) in the default reporting unit set for your organization
Energy PY in kWh	Total Energy Previous Year
Energy Rolling 12mth Avg in kWh	Total Energy Rolling 12 months average
Energy TD in kWh	Total Energy To-Date - starting period is dynamic depending on visual filters
Energy Variance in kWh	Total Energy variance between current period and previous year = Energy - Energy PY
Energy Variance % in kWh	(Energy - Energy PY) / Energy PY * 100
Normalized Energy in kWh	Weather normalized energy - available only when the regression model has been set up for the relevant account or meter

Native Units

Field	Description
Native Units	Total Data = Actual Data + Accrued Data + Estimated Data
Native Units (Linked Meter)	Total consumption data of linked meter of the account
Native Units (Meter then Account)	Returns linked meter’s total consumption data if it is available, otherwise return the account’s total consumption data
Native Units Normalized	Weather normalized consumption data - available only when the regression model has been set up for the relevant account or meter
Native Units PY	Native Units Previous Year
Native Units Rolling 12mth Avg	Native Units Rolling 12 months average
Native Units TD	Native Unites To-Date - starting period is dynamic depending on visual filters
Native Units Variance	Native Units variance between current period and previous year = Native Units - Native Units PY
Native Units Variance (Account vs Linked Meter)	Total consumption data variance between the account and its linked meter
Native Units Variance %	(Native Units - Native Units PY) / Native Units PY * 100
Native Units vs Normalized Variance	Native Units - Native Units Normalized
Native Units vs Normalized Variance %	(Native Units - Native Units Normalized) / Native Units Normalized * 100
Subfolder : Native Units Breakdown All values in this subfolder further breakdown the units values into actual, estimated and accrued data
Accrued Data	System generated accrued primary measure data (only available if the Accrual feature is turned on)
Accrued Data PY	Accrued Data Previous Year
Actual Data	Actual primary measure data being captured in Envizi (with Estimate flag set to No)
Actual Data PY	Actual Data Previous Year
Estimated Data	Primary measure data captured in the system but being flagged as Estimate
Estimated Data PY	Estimated Data Previous Year
Missing Data	An approximation of the amount of data missing in an account.

Others

Field	Description
Area	Total Area of Data Types that are measured in area metrics (e.g., m2)
Area PY	Area Previous Year
Area Variance	Variance between current period and previous year : Area - Area PY
Area Variance %	Variance % calculation : (Area - Area PY) / Area PY * 100
Distance	Total Distance of Data Types that are measured in distance metrics (e.g., km)
Distance PY	Distance Previous Year
Distance Variance	Variance between current period and previous year : Distance - Distance PY
Distance Variance %	Variance % calculation : (Distance - Distance PY) / Distance PY * 100
Mass	Total Mass of Data Types that are measured in mass metrics (e.g., tonnes)
Mass PY	Mass Previous Year
Mass Variance	Variance between current period and previous year : Mass - Mass PY
Mass Variance %	Variance % calculation : (Mass - Mass PY) / Mass PY * 100
Volume	Total Volume of Data Types that are measured in volume metrics (e.g., kL)
Volume PY	Volume Previous Year
Volume Variance	Variance between current period and previous year : Volume - Volume PY
Volume Variance %	Variance % calculation : (Volume - Volume PY) / Volume PY * 100
Subfolder : Days of Data This subfolder reports the number of sum of the days of data for all records within the reporting period.
Days Mismatch	Number of days mismatching of expected number of days in the calendar month = Days in Calendar Month - Days of Data Actual - Days of Data Estimated (accrued data is still being counted as mismatching)
Days of Data	Total Days of Data = Actual + Accrued + Estimated
Days of Data Accrued	The number of days that data is accrued
Days of Data Actual	The number of days that data is actual
Days of Data Estimated	The number of days that data is estimated (actual data with Estimated flag set to yes)
Days of Data Missing	The number of days that data is missing. This field is only applicable for Account without system automated Accrual function.

Calendar

Field	Description	Format Example
Subfolder : Calendar Year
Date	Calendar Date	July 2023
Date Short	Calendar Date	Jul 23
Month	Calendar Month Number	7
Month Long Text	Calendar Month name	July
Month Name	Calendar Month name short form	Jul
Month Short Text	Calendar Month in short text format	Jul
Quarter	Calendar Year quarter number	3
Quarter Name	Calendar Year Quarter Text	Q3 Jul-Sep 2023
Quarter Name (Short)	Calendar Year Quarter Number with Text	Q3 2023
Quarter Text	Calendar Year Quarter Number with Text	Q3
Year	Calendar Year	2023
Year Short	Calendar Year	23
Subfolder : Financial Year
FY	Financial Year Range	22-23
FY (Long)	Financial Year	2023
FY (Short)	Financial Year	23
FY Long Text	Financial Year with Text	FY2023
FY Quarter	Financial Year Quarter Number	3
FY Quarter Name	Financial Year Quarter Text	Q3 Jul-Sep 2023
FY Quarter Name (Short)	Financial Year Quarter Text	Q3 2023
FY Quarter Text	Financial Year Quarter Number with Text	Q3
FY Short Text	Financial Year with Text	FY23
FY Years Long	Financial Year Range Long Format	2022-2023

Currency

Field

Description

Currency Code

ISO currency code, e.g., AUD.

List of currency codes are sourced from the country info of Locations that have been set up in the system.

Currency Name

ISO currency name, e.g., Australian Dollar

Group

Field	Description
Group Type	Classification, Portfolio, Facility
Level 1 Group	Level 1 Group names
Level 2 Group	Level 2 Group names
Level 3 Group	Level 3 Group names

In general Group Type = ‘Classification’ should always be applied as an All Pages Filter in Power BI Reports to avoid data overreporting

Item

Field	Description
Account Style Category	GHG Scope 3 category of the Account Style
Account Style/Component	Account Style name (for account) or Meter component name (for meter)
Accrue Type	Accrue type of the account style, e.g., Contiguous, Event
Item Name	Account Number (for account) or Serial No. (for meter)
Item Type	Account or Meter
Last Day Of Data	The last day when the account or meter has data, e.g., 21/09/2021
Opened On	Opened On date of the account or meter
Period of Last Data	An assessment of the last day of data and categorize it into different period bucket: Within last 4 months Within last 5 to 12 months Within last 13 to 24 months More than 24 months old From next month and onwards No Data
Reference	Account Reference (for account) or Meter Name (for meter)
Replaced On	Replaced On (Closed On) date for the account or meter
Source	Reader field (for account) or Service Point’s ‘Service Provider’ field (for meter)
Supplier	Supplier field (for account) or Service Point’s Supplier field (for meter)
Subfolder : Attributes
Attribute 1	Custom attribute 1 of account (text)
Attribute 2	Custom attribute 2 of account (text)
Attribute 3	Custom attribute 3 of account (text)
Attribute 4	Custom attribute 4 of account (text)
Attribute 5	Custom attribute 5 of account (text)
Subfolder : Scope 3
Calculation Method	The Calculation Method used for the Account Style, used to determine Data Quality
Data Quality	The Data Quality is Envizi's Rating of the Calculation Accuracy based on the Calculation Method used. (from 1-5 where 1 is the best and 5 is the worst)

Location

Field	Description
Associate Name	Name of your organization
Closed On	‘Closed On’ attribute of Location, in yyyy/mm/dd format
Latitude	Latitude in decimals, e.g., -34.3497 (attribute in sub folder ‘Corordinates’)
Longitude	Longitude in decimals, e.g., 135.8543 (attribute in sub folder ‘Corordinates’)
Has Gaps
Location ID	‘ID’ field of Location
Opened On	‘Opened On’ attribute of Location, in yyyy/mm/dd format
Location Name
Location Notes	‘Notes’ text field of Location
Location Ref	‘Ref’ field of Location
Location Type	Office, Retail, Others etc.
Reference	‘Ref No’ field of Location
Weather Station Name
Subfolder : Attributes
Attribute 1	Custom attribute 1 of location (text)
Attribute 2	Custom attribute 2 of location (text)
Attribute 3	Custom attribute 3 of location (text)
Attribute 4	Custom attribute 4 of location (text)
Attribute 5	Custom attribute 5 of location (text)
Attribute 6	Custom attribute 6 of location (text)
Attribute 7	Custom attribute 7 of location (text)
Attribute 8	Custom attribute 8 of location (text)
Attribute 9	Custom attribute 9 of location (text)
Attribute 10	Custom attribute 10 of location (text)
Numeric Field 1	Numeric custom attribute 1 of location (numeric)
Numeric Field 2	Numeric custom attribute 2 of location (numeric)
Subfolder : Address
Address	Field in the Address record. If multiple addresses existing for the same location, only the first created address is populated here.
Address - City	same as above
Address - Country Regioin	same as above
Address - Post Code	same as above
Address - State	same as above
Addressee	same as above
Mailing Name	same as above
Address Type	same as above - possible values: Physical, Registered, Delivery etc.

Measure

Field	Description
Category Type	Default or Custom
Data Type	Data Type name, e.g., Electricity [kWh]
Data Type Category	Category of Data Types, e.g., Electricity, Natural Gas, Stationary Fuels, Waste
Scope	Scope 1, Scope 2, Scope 3, KPI, Offsets etc.
Unit of Measure	Unit of the primary measure of each Data Type, e.g., kWh

Region

Field	Description
Continent	Continent of the Location
Country	Country of the Location
Region Name	Region of the Location
State	State of the Location (if applicable)

Tag

Field	Description
Tag	Tag Name
Tag Type	Tag Type Name

By default only ‘Consolidation’ Tag Type and ‘CO2e and Base Measure’ Tag are included in the table
In general Tag Type = ‘Consolidation’ should always be applied as an All Pages Filter in Power BI Reports to avoid data overreporting
Other Generic Tag Types/Tags need to be enabled via Admin → Organization Preferences → Reporting and Dashboard Preferences if they are required in the Monthly Dataset
Other Custom Tag Types/Tags need to be enabled via the Admin → Custom Tags if they are required in the Monthly Dataset

Unit

Field	Description
Area Unit	Organization’s global reporting unit for Area (default is m2 if not set)
Distance Unit	Organization’s global reporting unit for Distance (default is km if not set)
Emissions Unit	Organization’s global reporting unit for Emissions (default is tonnes if not set)
Energy Unit	Organization’s global reporting unit for Energy (default is GJ if not set)
Global Currency Unit	Organization’s global reporting unit for Currency (default is USD if not set)
Mass Unit	Organization’s global reporting unit for Mass (default is tonnes if not set)
Volume Unit	Organization’s global reporting unit for Volume (default is Litres if not set)

Other Notes

All values in the Monthly Dataset is after applying both Consolidation Rules an Location-Group Membership % if they have been set up in Envizi
All previous year fields are defined as current selection minus 12 months
To change the global reporting unit for Emissions, Energy, Mass, Volume - go to Admin → Organization Preferences → Reporting and Dashboard Preferences (change of the settings are available to System Administrator users only)