P13 · Implementation blueprint · Mappls Public Safety Command

Disaster Management & Climate Risk Intelligence

Hazard, exposure, asset and response data are fragmented, limiting preparedness, prioritisation and rapid situational awareness.

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01 · Target operating outcome

Define the change before choosing the technology

Can you see which people, assets or loans are exposed to a forecast hazard—and the action owner—on one trusted map?

Business case: faster assessment/response, better mitigation allocation, lower avoidable loss and auditable climate-risk decisions. Use scenario and event baselines.

Baseline

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

Target

Coverage and data lineage; scenario validity; decision lead time; user acceptance; governance and production data plan.

02 · Solution architecture

One connected flow from source data to operational action

Multi-hazard GIS, exposure/vulnerability layers, early-warning feed integration, scenario analytics, EOC dashboards, field damage assessment and climate-risk APIs. We connect hazard intelligence to the actual people, assets and decisions that need action, rather than delivering another static risk map.

Data foundation

Map, customer, asset, sensor and enterprise data

Intelligence services

Search, routing, GeoAI, rules and spatial models

Role workflows

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

Decision and outcome

faster assessment/response, better mitigation allocation, lower avoidable loss and auditable climate-risk decisions. Use scenario and event baselines.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

SDMA CEO/Relief Commissioner

Sponsor / owner

Chief Risk Officer

Manager / analyst

Climate Risk/ESG Head

Manager / analyst

Chief Secretary

Manager / analyst

Regulator/Board Risk Committee

Operator / specialist

CEO/CRO

Operator / specialist

GIS/Remote Sensing

Operator / specialist

Risk Analytics

Operator / specialist

IT/Data

Operator / specialist

Emergency Operations Centre

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

Survey, Integration & Managed Updates

Field survey, data creation, integration, migration, validation and O&M

Product details

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

Geo-demographics & Custom Data

Population, market, administrative and customer-enriched location layers

Product details

Geocoding & Reverse Geocoding

Address-to-coordinate and coordinate-to-address

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

6–8 week hazard/portfolio pilot with data ingestion, exposure analytics, alert/workflow and scenario review.

Confirm data, geography, users and workflow: Priority hazards? Exposure data? Decision cadence? Current models? Alert feeds? Field assessment process? Regulatory outputs?
Configure Mappls Public Safety Command for the selected role set
Run baseline and intervention scenarios with real stakeholder reviews
Evaluate agreed criteria: Coverage and data lineage; scenario validity; decision lead time; user acceptance; governance and production data plan.
Package production scope and commercial model: Platform/data subscription + custom models/integration + user/API pricing + annual update/support.

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