P05 · Representative solution case · Government / Public Safety

ICCC, Public Safety & City Surveillance GIS

Can your command centre answer—on one map—what happened, what is nearby, who is responding and whether the SLA was met?

Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.

01 · Operating context

The decision environment and the problem to change

Video, sensors, incidents and field units are fragmented, so operators lack a common operational picture and response accountability.

Primary operating owner

Police Commissioner/DGP; Smart City CEO; ICCC Head; Head City Surveillance

Economic decision

Home Secretary; Municipal Commissioner; DGP

Technical influence

Police Telecom; CIO; System Integrator; Command Centre Architect

Why action becomes urgent

ICCC/CCTV refresh, new command centre, major event, crime/traffic hotspot programme, integration gaps, end-of-support platform.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

Video, sensors, incidents and field units are fragmented, so operators lack a common operational picture and response accountability.

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

GIS operational picture integrating CCTV/sensors, incidents, patrol assets, jurisdictions, SOP workflows, analytics and evidence-linked dashboards.

  • One role-aware workspace in Mappls Public Safety Command
  • Live context moves directly into the responsible workflow
  • Every decision, scenario and outcome can be measured and audited

03 · Stakeholder experience

One shared system, different role moments

Own and govern

Police Commissioner/DGP

Own and govern

Smart City CEO

Decide and coordinate

ICCC Head

Decide and coordinate

Head City Surveillance

Decide and coordinate

Home Secretary

Execute and verify

Municipal Commissioner

Execute and verify

DGP

Execute and verify

Police Telecom

Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.

04 · Day-in-the-life journey

How the solution turns information into an operational result

01

Frame the operating decision

How many systems are visible in one console? Are camera and jurisdiction locations accurate? What are response baselines? Who owns data updates?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Public Safety workspace.

03

Act through role workflows

Incident board, Dispatch, Live units, Response map, After action give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

6–8 week pilot integrating selected cameras/sensors, incident feed, jurisdiction and dispatch workflow.

05

Scale and continuously improve

Operationalise the model through Platform/site licence + connectors/integration + data + AMC/support; delivered directly or through prime SI., adoption governance, service measurement and a managed improvement backlog.

05 · Solution and data architecture

The Mappls capabilities behind the experience

Location foundation

Map, address, place, route, imagery, boundary and context layers

Operational context

Customer, asset, order, sensor, incident, task or transaction records

Application workflow

Incident board · Dispatch · Live units · Response map · After action

Outcome loop

Feed integration stable; location accuracy accepted; operator steps/time reduced; audit trail and security review passed.

Asset & Personal Trackers

Battery/portable/asset location and alert devices

Product details

Traffic, ETA & Road Events

Live/historical traffic, ETA and safety/road events

Product details

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

2D/3D Digital Twin

Operational 2D/3D spatial layer linked to live and enterprise data

Product details

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisBusiness case: lower incident-to-dispatch/arrival time, higher asset uptime, faster investigation and auditable SLA compliance.
Success criteriaFeed integration stable; location accuracy accepted; operator steps/time reduced; audit trail and security review passed.

Bounded proof

6–8 week pilot integrating selected cameras/sensors, incident feed, jurisdiction and dispatch workflow.

  • Confirm the baseline and decision scope: How many systems are visible in one console? Are camera and jurisdiction locations accurate? What are response baselines? Who owns data updates?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Feed integration stable; location accuracy accepted; operator steps/time reduced; audit trail and security review passed.
  • Document data quality, adoption, security, service and scale findings
  • Convert evidence into a phased production scope and accountable value plan

07 · Governance and scale

Operate the solution safely and sustainably

Identity and access

Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.

Data governance

Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.

Operating governance

Named process owners, exception SLAs, escalation, change control and adoption measurement.

Value governance

Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.

Your outcome, powered by Mappls

Put ICCC, Public Safety & City Surveillance GIS into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

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