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Alerts in Scaler: Errors, missing data, and warnings

Explains how Scaler performs data quality checks through automated alerts (errors, missing data, warnings), and how to resolve them to reach 100% Scaler Data Completion.

Purpose of this article

This article explains how Scaler's alert system works, what each alert type means, and how alerts affect Scaler Data Completion, calculations, and reporting outputs.

Understanding alerts is essential to:

  • Reach 100% Scaler Data Completion
  • Unlock up-to-date analytics and metrics
  • Generate accurate reports

Related: Once data passes quality checks, Scaler evaluates how reliable your consumption data is over time. See Data reliability methodology for details on reliability scoring.


What are data quality checks in Scaler?

Scaler performs automated data quality checks on all input data in the Data Collection Portal to ensure completeness, accuracy, and validity. When data doesn't meet required standards, Scaler generates alerts to guide you toward resolution.

These quality checks happen at the point of data entry and fall into three categories:

  1. Errors – Invalid or illogical data that violates validation rules
  1. Missing data – Required fields left empty for analytics or reporting
  1. Warnings – Unusual values that may need review but don't block calculations

Alerts appear throughout the Data Collection Portal, including:

  • Asset List: Configure the table to show alerts according to each report, sort the list with alert columns, Resolve assets with Errors/Missing data directly from the table
  • Asset edit view: Alerts indicated visually at field level

Together, these alerts ensure your data meets quality standards before it can be used in analytics and reporting.


How alerts affect calculations and data completion

  • Errors and Missing data alerts prevent Scaler Data Completion from reaching 100%
  • When Scaler Data Completion is below 100%:
    • Calculations will not run
    • Metrics may appear outdated or incomplete
  • Warnings do not block calculations but highlight values that should be reviewed

1. Errors

Definition

An error occurs when entered data violates validation rules, input requirements, or reporting logic.

Common examples

General errors

  • Covered area of a meter exceeds the available floor area for its Area type
  • Overlapping consumption date ranges within a meter

Report-specific errors (e.g. GRESB)

  • Whole-building meters have inconsistent operational control (landlord vs tenant) across resource categories

Impact

  • Errors block calculations
  • Errors must be resolved for Scaler Data Completion to reach 100%
  • Until resolved, metrics in the Asset List and analytics may be incomplete
    • Notion image

2. Missing data

Definition

A missing data alert occurs when a required field (or conditionally required field) is empty for analytics or reporting.

Categories of missing data

Scaler analytics

  • Missing required fields such as:
    • Gross floor area
    • Common area
    • Tenant area
  • These prevent calculation of coverage and intensities

Reporting outputs

  • Missing inputs required by reporting frameworks (e.g. GRESB, GRI, EU Taxonomy)
  • Example:
    • Percentage green missing under Meter details for GRESB

Important distinction

“Missing data” alerts do not refer to gaps in meter consumption history.

Consumption gaps are handled through data coverage, not missing data alerts.

Impact

  • Missing data alerts block Scaler Data Completion from reaching 100%
  • Reports and metrics remain incomplete until resolved
    • Notion image

3. Warnings

Definition

A warning flags values that may require review but do not necessarily indicate incorrect data.

Warnings do not block calculations.

Types of warnings

Data integrity checks

  • Consumption date precedes the Meter version start date or the asset’s Owned since date
    • Scaler normalises values but flags them for review
  • Both whole-building meters and separate tenant + common area meters exist, potentially duplicating coverage

Outliers in consumption values

  • Significant year-over-year changes in energy, water, or waste consumption
  • Calculated as relative change:
(current yearly consumption – previous yearly consumption)
÷ previous yearly consumption
  • Warning triggered if result falls outside [-0.5, 1.0], aligned with GRESB methodology

Notes on warnings

  • Correct values may still trigger a warning
  • Users can manually clear warnings after verification using Remove warning
  • Outlier warnings only appear when a Scaler report filter is applied
    • Notion image

Where alerts appear

Alerts are visible in:

Data Collection Portal

  • Asset List: Configure the table to show alerts according to each report, sort the list with alert columns, Resolve assets with Errors/Missing data directly from the table
  • Asset edit view: Alerts indicated visually at field level

Using the Portfolio Alerts dashboard

The Portfolio Alerts dashboard provides a centralized view of all data quality issues across your portfolio, making it easier to resolve alerts at scale.

Location: Data Collection Portal → Portfolio → Asset List → Alerts

What it shows:

The Alerts tab displays all errors, missing data, and warnings in a single table with the following information:

  • Number of assets affected by each alert
  • Alert type (error, missing data, warning)
  • Data section where the issue occurs
  • Specific field name
  • Alert description

Filtering options:

  • Critical alerts: Shows only errors and missing data that block Scaler Data Completion
  • By report: Filter alerts by enabled reports (e.g., GRESB, CRREM)
  • Alert type pills: Filter by missing data, errors, or warnings

Bulk resolution workflow:

  1. Select one or more alerts using checkboxes
  1. Click Download in the floating action bar
  1. A custom Scaler Spreadsheet downloads containing only the affected assets and fields
  1. Fill in the corrections in the spreadsheet
  1. Upload the completed spreadsheet back into Scaler

This workflow eliminates the need to navigate into individual assets to resolve alerts one by one.


Resolving alerts per asset

  1. Navigate to Data Collection Portal → Portfolio → Asset List.
  1. Select a specific report (e.g. Scaler, GRESB) from the calculation bar at the top of the page.
    1. This updates the alert columns to reflect the requirements of that report.

  1. Review the Alert type columns to see the number of Errors, Missing data, and Warnings for each asset.
  1. Assets are sorted by Scaler Data Completion (critical) by default, with assets below 100% shown at the top.
  1. To resolve alerts:
      • Click the pencil icon to edit an asset, or
      • For assets below 100% Data Completion, click Resolve in the Actions column to open the asset directly at the sections requiring attention.

Resolving all Errors and Missing data alerts for the selected report will allow the asset to reach 100% Scaler Data Completion.

Notion image
 
Notion image

Key takeaways

  • Errors and Missing data must be resolved to unlock calculations
  • Warnings highlight potential issues but do not block progress
  • Resolving alerts is essential for accurate analytics and reporting

Related: Once your data passes these quality checks, Scaler evaluates how representative and trustworthy your consumption data is over time. See Data reliability methodology for information about reliability scoring.

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