The Metering Services team at Georgia Power uses FME to compile and analyse data.
For example, they used FME to locate 1,000 installed meters with a factory defect, enabling field personnel to replace them in 1 week compared to the previous 4 months. Another FME workspace was designed to compare several systems at the database level, which found a discrepancy that had resulted in 2.5 million dollars in unbilled revenue since 2004.
FME processes large database to populate a “Morning Report” using business intelligence to provide data updates to individuals only if their action is required. It also models databases from many sources to detect meter tampering; looks for anomalies in databases that applications can’t see; translates data from legacy systems; and feeds data to dashboards such as the Automated Metering Infrastructure (AMI) and Meter Equipment Tracking System (METS), various SQL, Access, and Oracle databases, and internal web sites including Microsoft BI, Tableau, and ArcGIS Server / Portal.