Geosurveys & Geospatial Information Limited — for your surveying & mapping solutions

For water service providers

Water Utilities Management

A decision platform that puts your customer, billing and meter data on the ground, with commercial overview, asset management and NRW intelligence in one place.

Reads
Customer, billing and meter data
Joins it to
Mains, valves and parcels
Dashboards
Commercial · Assets · NRW
Figures shown
Kilifi pilot
The Non-Revenue Water Intelligence dashboard: billing status, billing anomalies, meter condition and reading status charts, a customers-requiring-investigation ranking from critical to low, and a map of connections
NRW Intelligence · Kilifi pilot

What it solves

Six problems that follow from customer, billing and network data held in separate systems.

  • High non-revenue water, no way to localise it

    Losses are known in aggregate at the end of the month, not by zone, main or account while there is still time to act.

  • Fragmented operational information

    Billing sits in one system, the network in a drawing, meter history in a spreadsheet. Nothing reconciles.

  • Reactive maintenance

    Crews are dispatched when a pipe bursts, not when condition data says it is about to.

  • Limited visibility of assets

    Valves, mains and service lines exist in institutional memory rather than in a register anyone can query.

  • Difficult inspection prioritisation

    Every account looks equally suspicious, so field officers are allocated by intuition and geography.

  • Expansion planning on thin information

    Network extensions are budgeted without knowing where the town has actually grown since it was last mapped.

How it connects

From ERP records to one connected spatial intelligence platform, integrating commercial, network, and geospatial data into actionable dashboards for smarter water utility decisions.

SOURCE SYSTEMBilling & ERPCustomer master · BillingMeter readings · ArrearsFIELD MAPPINGNetwork assetsMains · Valves · Service linesMeters · Condition ratingEARTH OBSERVATIONImagery & parcelsSatellite · Building footprintsCadastral parcelsaccount no. joinGPS capturechange detectionGIS PlatformCloud or on-premisepublishesDASHBOARD 1Commercial OverviewRevenue, customers, consumptionDASHBOARD 2Asset ManagementNetwork, condition, maintenanceDASHBOARD 3NRW IntelligenceAnomalies, ranked investigations

Where to extend next

Satellite imagery and building-footprint analysis identify where development has actually happened since the area was last mapped: new structures inside the service area, and new structures beyond the end of the main. Each becomes a costed candidate for extension rather than a guess in a budget line.

  • Newly developed areas identified from imagery, not from reports
  • Future customer growth estimated from building counts
  • Network extensions planned along real demand corridors
  • Budget estimates tied to metres of main and connection counts
  • Capital investment prioritised by yield per shilling
Satellite imagery of a coastal strip either side of Bofa Road, overlaid with white parcel boundaries, yellow building footprints, blue water mains along the roads and red service connection points
Building footprints against the existing main · Bofa Road, Kilifi
A brass water meter joining a blue service pipe in an open sandy trench beside a dirt road, a lorry parked at the left and thatched-roof houses and palms along the roadside behind
A new service connection · meter and service line

Why it matters

Six outcomes, from commercial performance to customer service.

  • Improved commercial performance

    Revenue, arrears and consumption read together, by zone and by customer class.

  • Better asset visibility

    A queryable register of every main, valve, service line and meter with its condition.

  • Smarter investigations

    Field officers dispatched against a ranked list with a documented reason per account.

  • Evidence-based planning

    Extension and capital budgets built on observed development, not on projections.

  • Faster operational decisions

    Management sees near real-time performance instead of waiting for month-end.

  • Improved customer service

    Queries answered against the connection, its meter history and its service line.