New Feature – Quick identification on the root cause of validation queries

When an invoice is queried during the validation process, it can be for a single reason; e.g. the rate being charged is incorrect, or for multiple reasons where many line items have failed.  Traditionally, it’s been difficult to establish whether there is a sole primary reason which could be the cause, for example, when consumption is incorrect, and produces erroneous multiplications of all rates.

To help identify the primary cause of failure, we’ve added a primary and secondary validation identifier to the Billing Validation screens, and a new Primary and Secondary Validation Outcome Report.  It shows you exactly what the root cause is, from there you can decide if you want to view what the secondary, or knock-on effects are. The tool is really useful for customers with a large number of invoices, as it helps improve the user experience and further reduces the time it takes in query resolution.

For further information please see the support article Viewing Validation Outcomes



Updated Feature – Easier auditing and viewing of your raw metering files

From listening to customer feedback, we’ve made some user experience improvements in accessing your metering files from the Metering Audit screens.  By navigating to the Metering Audit screen, you can simply click on the file that you want to view, and download it from the UI.

For customers that have their meter operators accessing the Energy.Hub for exception reporting and data quality checks, these users can now also view the information received. This helps in answering questions such as; when the data was received, and what time it was processed.  The user now has the ability to click and view the actual file.  This eliminates the need to send email alerts to MOP’s confirming receipt of the files, which results in data deluge, allowing them to access the information when and as they need it.

For further information please see the support article Making sure you receive your metering data