“Collecting high quality data efficiently using Field2Base forms has effectively changed our field operation procedures. They make it so easy to create, modify and fill-out a form that this has become an invaluable tool for NPU.”— David Poore, GIS Manager · Norwich Public Utilities
Norwich Public Utilities provides electric, water, wastewater, and natural gas services throughout Connecticut.
NPU's four service lines — water, wastewater, electric, and natural gas — ran on paper. Work orders, inspections, and safety documentation all depended on crews filling out forms in the field and someone re-keying them into NPU's systems later, which meant supervisors were often making decisions on paperwork that was already a day or more out of date. Nothing caught an error until it had already been re-entered — and for a utility juggling safety and compliance recordkeeping across four different service lines, that lag was a real operational risk, not just an inconvenience.
NPU worked with Field2Base to convert 50 field reporting processes into a single mobile app, with validation rules and required fields that catch incomplete or inaccurate data before it's ever submitted — not after it lands on someone's desk. The biggest shift was in exposed-pipe reporting: field technicians now capture GPS location and pipe condition directly on a tablet, and Field2Base's Data Integration Module pushes that data straight into NPU's Esri ArcGIS system the moment it's received. What used to be a manual mapping update is now automatic.
NPU’s GIS records now reflect what’s actually happening in the field, not what happened a few days ago. Supervisors get real-time visibility across all four utility lines instead of waiting on paperwork, and because every submission is validated before it’s sent, the re-entry errors that used to slip through simply don’t happen anymore. As GIS Manager David Poore put it, digitizing these forms “effectively changed our field operation procedures” — turning a slow, error-prone paper chain into a live feed of field data.
Estimated efficiency gains are calculated using annual submissions, estimated time saved per submission, and an assumed labor rate. These estimates illustrate potential operational efficiency and are not guarantees of actual savings.