Utilities are very important for smoothing people's daily lives. Public utility authorities are facing significant challenges in developing cost effective business process for managing subsurface, surface and overhead utility infrastructures and assets. People working in utilities need a better understanding of the context of change, what it means, and how to manage current and future utility assets. In Adama city, utility's geospatial data is constantly changing, and geospatial datasets are outdated and poor in data quality, making them unsuitable for decision support, resulting in high maintenance costs. Another big issue is the link between the spatial and non-spatial components of the utility. The objective of this paper is to develop a web-GIS based electric utility management system that addresses these issues. Ethiopian electric utility, adama district is consists 30 service centers, 327 satellite stations, 10 power distributions, 66 outage lines, and more than 200,000 customers. Primary data is collected from the study area using portable GPS. Secondary data is from the Ethiopian electric utility in the Adama area. Accordingly, 660 electric pole data from Angatu kebele (formerly kebele 14), and 2575 district transformer data were collected. Of these 2575 transformers, only 761 are within Adama city boundary. In addition, satellite imagery and existing non-digital sources are used. The developed web-GIS system shows the two data layers (i.e. poles and distribution transformers) overlaid. The system implementation includes the ability to query layer information, split maps, generate reports, and perform spatial operations such as measuring distances and areas, and a mechanism for system administrators to add or remove utilities from specific locations. This work also provides a customer support system that helps customers submit issues and helps managers track down issues for maintenance of the city's utility. This system is especially useful during the maintenance, upgrade, and planning period of the power supply function in the study area.