Primary operating owner
SDMA CEO/Relief Commissioner; Chief Risk Officer; Climate Risk/ESG Head
P13 · Representative solution case · Government / BFSI / Infrastructure
Disaster Management & Climate Risk Intelligence
Can you see which people, assets or loans are exposed to a forecast hazard—and the action owner—on one trusted map?
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
Hazard, exposure, asset and response data are fragmented, limiting preparedness, prioritisation and rapid situational awareness.
Economic decision
Chief Secretary; Regulator/Board Risk Committee; CEO/CRO
Technical influence
GIS/Remote Sensing; Risk Analytics; IT/Data; Emergency Operations Centre
Why action becomes urgent
New hazard event, climate disclosure/regulation, disaster plan revision, EOC modernisation, resilience funding, portfolio risk review.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Hazard, exposure, asset and response data are fragmented, limiting preparedness, prioritisation and rapid situational awareness.
- Location, operational and enterprise data remain separated
- Stakeholders make inconsistent decisions from partial context
- Exceptions are found late and evidence is difficult to reconstruct
A governed location-aware decision loop
Multi-hazard GIS, exposure/vulnerability layers, early-warning feed integration, scenario analytics, EOC dashboards, field damage assessment and climate-risk APIs.
- 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
SDMA CEO/Relief Commissioner
Own and govern
Chief Risk Officer
Decide and coordinate
Climate Risk/ESG Head
Decide and coordinate
Chief Secretary
Decide and coordinate
Regulator/Board Risk Committee
Execute and verify
CEO/CRO
Execute and verify
GIS/Remote Sensing
Execute and verify
Risk Analytics
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
Frame the operating decision
Priority hazards? Exposure data? Decision cadence? Current models? Alert feeds? Field assessment process? Regulatory outputs?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Public Safety workspace.
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.
Prove the intervention
6–8 week hazard/portfolio pilot with data ingestion, exposure analytics, alert/workflow and scenario review.
Scale and continuously improve
Operationalise the model through Platform/data subscription + custom models/integration + user/API pricing + annual update/support., 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
Coverage and data lineage; scenario validity; decision lead time; user acceptance; governance and production data plan.
Survey, Integration & Managed Updates
Field survey, data creation, integration, migration, validation and O&M
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsGeo-demographics & Custom Data
Population, market, administrative and customer-enriched location layers
Product detailsGeocoding & Reverse Geocoding
Address-to-coordinate and coordinate-to-address
Product details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
6–8 week hazard/portfolio pilot with data ingestion, exposure analytics, alert/workflow and scenario review.
- Confirm the baseline and decision scope: Priority hazards? Exposure data? Decision cadence? Current models? Alert feeds? Field assessment process? Regulatory outputs?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Coverage and data lineage; scenario validity; decision lead time; user acceptance; governance and production data plan.
- 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 Disaster Management & Climate Risk Intelligence into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.