Digital Twin for Location-Based Insights
We help you plan, optimize, execute and more when it comes to managing your equipment and facilities.
Helping to Move Water Utilities Into the Digital Age
Visualize and optimize utility operations using map-centric field and office solutions which accurately represent your utility assets. IWS delivers and supports both open-source GeoViewer™ and/or open-API based digital mapping platforms. Our implementations are field construction and inspection activities, manage and display work orders, model asset performance, predict asset failures, communicate outage management scenarios, and plan for capital improvements all integrated within an accurate, up-to-date mapping context.
Today’s utility demands work efficiencies during work order management, asset performance analysis, and capital planning workflows to achieve cost effectiveness. If operations staff are managing numerous manual processes and progress tracking in spreadsheets, they typically miss opportunities to group preventative maintenance and asset condition tasks by proximity. Root cause analysis of asset failures rely on environmental factors such as soil type or runoff slope; such factors often are excluded when analyzed manually.
An effective utility digital transformation includes an accurate, up-to-date GIS to enable these types of location-based analyses and efficiencies. By grouping similar field tasks within operations work-areas, operations staff complete more work orders with reduced truck-roll mileage. IWS implements GIS that emphasize field efficiencies and asset failure insights by location in order to maximize initial Return on Investment (ROI.)
IWS provides “smart” GIS solutions with early- and continuous- value, regardless if your utility has an existing GIS with unrealized value, or has not yet implemented an initial GIS. Work order optimization, field force efficiencies, and asset failure insights all benefit from an accurate and up-to-date GIS, resulting in decreased operational costs and increased asset reliability.