If you are an Administrator or SiteAdministrator, you can use the data anomalies feature to track and monitor data inputs for multiple activities or meters over time. The system runs a scan that checks for anomalies of data across the activities or meters that you select. You can set the scan to run for a certain period and the results will show there is duplicate data or date overlapping between data entries, and compares against the previous year’s data. You can update and change the test settings at any time.

You can configure non-interval tests to scan for data anomalies in multiple activities. Non-interval data activities include types of data, such as invoices or supplier statements, and is the main scan used.

  1. In Diligent ESG, select Data Management and select GHG Activities, Meter Manager, or Transport.
  2. Select Settings.
  3. In the Configure bulk activities window, select Anomaly test.
  4. Expand Non-interval data – Anomaly test and select the Scan non-interval data for anomalies checkbox.
  5. In the Activate column, select the Duplicate entries checkbox.
  6. In the Activate column, select the Date overlap checkbox.
  7. In the Activate column, select the Compare with same period last year checkbox, and in the Tolerance field, enter a tolerance percentage for the data to be above or below the previous year’s data before it registers as an anomaly. The default tolerance is 25%.
  8. In the Anomaly test reoccurrence dropdown, select how often the scan runs.
  9. In the Number of days after the scan when alerts appear field, enter the number of days after a scan occurs before a user is alerted to incomplete data.
  10. In the First scan date field, enter or select the date for the first scan.
  11. From the Scan historic data options, select Yes if you would like to scan data from a specific data, and in the First historical scan date field, enter or select the date.
  12. Select Next.
  13. (Optional) In the Organization, Activity type, and Country dropdowns, select options for one or more dropdowns to filter the activities in the table that you want to scan.
  14. Select Run test.
  1. Select Close to complete the process. 

The system configures the data anomaly test settings for the selected non-interval activities and meters and after it is completed, you will receive an email. You can view the results in the Analysis>Data Anomalies page. For further information about this page, go to Viewing and managing data anomaly tests.