P42 · Implementation blueprint · Mappls Utility Network Operations

Telecom Network, Fiber & Field Operations

Network, fiber, tower, customer and field-work data are split across systems, slowing rollout and repair while hiding coverage gaps.

01 · Target operating outcome

Define the change before choosing the technology

How much rollout or repair time is lost because network records and field reality disagree?

Faster rollout/repair; higher asset and record accuracy; lower truck rolls; improved serviceability conversion.

Baseline

Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.

Target

Asset match accepted; survey/repair cycle improves; API/serviceability accuracy and update ownership proven.

02 · Solution architecture

One connected flow from source data to operational action

Network/fiber/tower GIS, coverage analytics, route survey, asset inventory, address/serviceability APIs, field work, outage and maintenance workflows. Mappls connects proprietary map and location intelligence with network/fiber/tower gis, coverage analytics, route survey, asset inventory, address/serviceability apis, field work, outage and maintenance workflows. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.

Data foundation

Map, customer, asset, sensor and enterprise data

Intelligence services

Search, routing, GeoAI, rules and spatial models

Role workflows

Network map · Outages · Maintenance · Crews · Planning

Decision and outcome

Faster rollout/repair; higher asset and record accuracy; lower truck rolls; improved serviceability conversion.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Network Planning

Sponsor / owner

Fiber

Manager / analyst

Operations

Manager / analyst

CTO

Manager / analyst

COO

Operator / specialist

Circle Head

Operator / specialist

OSS/BSS

Operator / specialist

GIS

Operator / specialist

RF Planning

Operator / specialist

Field Service

The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.

04 · Data and integration

Connect the minimum information needed to make the workflow real

Location foundation

Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.

Enterprise context

Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.

Integration pattern

APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.

Security and control

Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.

Recommended Mappls building blocks

Geocoding & Reverse Geocoding

Address-to-coordinate and coordinate-to-address

Product details

Mappls Pin / Digital Address

Compact digital location identity and address workflows

Product details

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

Asset & Personal Trackers

Battery/portable/asset location and alert devices

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

Pilot one exchange/cluster: reconcile assets, serviceability and field work against ground truth.

  • Confirm data, geography, users and workflow: Which network layers and OSS/BSS systems exist? What accuracy/update and field SLAs apply?
  • Configure Mappls Utility Network Operations for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Asset match accepted; survey/repair cycle improves; API/serviceability accuracy and update ownership proven.
  • Package production scope and commercial model: Platform/data licence + survey + per-user field SaaS + integration/O&M.

06 · Rollout and operating model

Move from proof to governed adoption

Week 0–2
Discover

Baseline, data, stakeholders, security and architecture

Week 3–6
Configure

Data connection, role workflows, rules and dashboards

Week 7–10
Prove

Live users, measurement, change support and decision review

Production
Scale

Phased geographies, integrations, service model and continuous improvement