Reduce billing exceptions and errors with ERTH Sync Ops
Billing is the most complicated clerical activity within a utility and accompanies an inherent level of risk. Errors in the billing process can result in major financial implications and have a detrimental impact on the company’s public image. As part of ERTH’s managed utility billing services, Sync Operations and Billing Exceptions Management is a key component that ensures accurate and timely billing for customers, while mitigating risk associated with complex utility billing. Managing your MDM/R LDC Action Items reports and improving your billing accuracy will reduce risk and improve your utility’s cash flow.
Within the meter-to-cash lifecycle, Advance Metering Infrastructure (AMI) collects consumption data, which then flows across the utility’s CIS and ODS systems. This data must be accurate and in “sync” in order for the utility to generate accurate bills. When an issue or discrepancy occurs, an exception is generated which needs to be resolved in a timely manner so that the bill can be distributed on time. ERTH works hard to reduce your billing exceptions and errors.
Our Methodology
ERTH has developed a robust set of tools and processes that ensure comprehensive validation, editing and estimating (VEE) on each account, significantly reducing errors and adjustments.
With decades of experience billing for multiple organizations, ERTH encounters a wide variety of exceptions and variance checks that are common across all customers. ERTH applies this experience to continuously improve VEE techniques and tools.
Service Benefits
- Mitigate risk associated with billing errors
- Focus resources on customer service and engagement
- Reduce operating costs
Why do we need to sync our data?
As Ontario’s designated Smart Metering Entity (SME), the IESO is responsible for the implementation and operation of the province’s Meter Data Management/Repository (MDM/R). The MDM/R is a central hub, providing a common platform for storing, processing, validating and managing hourly electricity consumption information, to support local distribution companies (LDCs)’ billing processes all in a highly secure environment.
The IESO uses SME aggregated smart meter data as an input for its own forecast models used to:
- Manage the power grid.
- Leveraging aggregated smart meter data has helped to improve the accuracy of demand forecasting and understanding new residential behaviors.
- As the IESO looks to the future, new work patterns are something our forecasters will take into account for daily operation of the grid.
What is data synchronization in the utility industry?
Synchronization is a mechanism by which all the attributes, parameters and relationships for each location, where energy consumption is being measured by a smart meter are defined in the MDM/R.
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