Utility GIS Program satellite

 

Things to consider when beginning a Utility GIS System

  • Data Maintenance - If you are not going to maintain the data, you probably shouldn't collect it. A GIS System is only as good as the accurancy and currency of the data it contains.
  • Data Distribution & Format - For GIS data to be useful, it will need to be distributed in user-friendly ways to those who will utilize it. What different formats might be needed to best distribute the data (such as paper maps, hand-held GPS devices, laptop computers, web site) and who will implement and customize these formats to suit your needs?
  • Software and Equipment - Software, equipment and personnel are necessary to update and maintain GIS data. Do you have or are you willing to acquire those resources, or will you be served by a firm that has the resources and that you can depend on for on-going service and assistance?
  • Data analysis and manipulation - A powerful aspect of GIS is the ability to analyze and manipulate data. Examples are: determining for ISO fire rating purposes the number of residences within a certain distance of a fire plug; determining the number of structures served by a less than 2" water line; overlaying of new or different information such as updated aerial photography or topographic data; what-if scenarios, such as determining the best locations for a new fire station or what water customers will be affected if certain valves are closed. Will you or will you be served by a firm that can analyze and manipulate your GIS data to meet your needs?
  • GIS is an ever changing technology. Establishing and maintaining a useful Geographic Information System requires full-time and never-ending attention to new technology, software, equipment and training. It's important that you or a firm serving you is committed to meeting the ever-changing challenges of GIS technology.
  • Over time, GIS provides ever increasing returns. The returns on a GIS will multiply over time as you utilize the system and become more familiar with what it can do. This requires a commitment to data maintenance and on-going opportunities for data utilization and enhancement.