Attention to Utility Company: When your meter data is not reliable

In some utility company, the meter information stored in billing system is not reliable. This situation could happen when utility company pays too much attention of customer ID or service ID or property ID or other ID to locate and identify the service. It means that when doing meter reading, the readers tends to look for those IDs instead of meter information. If your company is guilty of doing this activity, try to look on how many anomalies or exception related to meter reading. Either, the consumption is too high, too low, or considered as many meter turn overs. If the statistics show that the number of anomalies related to meter reading is high, most probably your utility company has no meter information updated in billing system.

One action to correct the meter information is by doing data gathering to obtain updated meter information. To make it worst is that only readers know how to locate the property based on ID. And most of the time, you will not want to allocate your readers to do data gathering that could take time as compared to normal reading. This can sacrifice the billing period that your company has set. Not to mention if the house is locked and the reader needs to wait.

One solution is to use other resources as surveyors and they will do sweeping the whole area. In order to make the sweeping efficient and they could link all the meter info to correct customer ID or other ID, a preliminary campaign should be done. A reader when doing normal reading should put sticker near the meter info and write related customer ID or whatever ID that the company wants to relate to. This way, the surveyor could link all the meter info gathered to the ID used in billing system.

Train the surveyor effectively so that the method of sweeping is done correctly and surveyor know the meter information to gather.

Take note on meter exchange done during the data gathering period. All meter exchange activities should be monitored and integrated with data gathering data to make sure that the data is always updated.