The Anomalies feature allows users to run anomaly tests on their organisations data to identify data items which do not conform to an expected pattern of the dataset. For example data entries that are considerably different from the remainder of the data. The anomaly tests can be applied to individual activities and scheduled to run daily, weekly, monthly, yearly, bi-weekly, bi-monthly, quarterly, or four-weekly.

 

There are 2 anomaly tests available to run for Interval data.

  • Duplicate Entries - There are at least two intervals within an upload file that share the same dates and quantity. 
  • Compare Quantity to Same Period Previous Year - Compares the interval from one period to the same period in the previous year for an activity/meter, and raises an anomaly if the % increase is over the tolerance set.


To set up mass Anomaly settings across Interval Data meters follow the steps below. Interval Data testing can only be setup on half hourly/interval data meters (Electricity, Water or Gas). For all other activities select Non Interval Data.

Step 1: To begin, navigate to the GHG Activities screen by selecting the Data Management menu icon at the top of the screen and clicking on GHG activities from the drop down. Once on the GHG Activities screen click on the "Settings" button above the chart as shown below. Bulk Activity Settings button is available on the GHG Activities screen, Meters Screen, Transport screen and EED:A8 Screen. Users can go to any of these screens to use the Bulk Settings feature. For this example the GHG activities screen is used.

 

Step 2: Once the Settings button is clicked a box will appear asking do you want to configure: 

A - Data Completeness

B - Anomaly Testing

C - Email Reminders and Alerts

Select B to configure Anomaly testing settings for Interval Data meters.

 

Step 3: On the next screen click on the > symbol beside (A) Interval Data - Anomalies to set up Interval Data testing. 


 
Step 4: Next tick the box (A) to enable Interval Anomaly settings for activities, once the box is ticked a screen will appear to allow the user to set specific settings.


Step 5: On this screen users select the settings they wish to apply to their activities for interval data anomaly testing. Place a tick beside the tests you wish to enable (C). Users can then set a tolerance (B) for certain tests, the tolerance is currently defaulting to 25%. Users can change this by inputting their own tolerance figure. Once the settings for Anomaly testing are set up, click Continue.




 
Step 6: On this screen users will select the activities they wish to apply the interval data anomalies settings to. There is an activity table that shows all activities in the system if you wish to apply settings to all activities click continue. If you wish to filter this list use the three filters at the top A (company), B (All Activity Types) and C (All Countries) to determine what activities you wish to mass apply the data anomalies settings to. 


A - Company: By org structure for example apply data anomalies settings to all activities assigned to a certain building

B - By activity types: select a specific activity type for example Air Transport and apply these settings to all air transport activities in the system. 

C - All Countries: for example select United Kingdom and apply settings to all UK activities. 

These filters can be used together to determine what activities the user wishes to apply settings to. For example select Activity Type: Purchased Used and Electricity and Country type France to apply settings to all electricity activities in France.  Click Finish when you have selected the activities you wish to mass apply the data anomalies settings to. 

 
 

Step 7: The interval data anomaly settings for the selected activities are now setup, once the system has completed a background users will receive an email of completion. Click close to finish the process.