Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P29 · Implementation blueprint · Mappls Navigation Lab
Automotive Map Data, Updates & Validation
Automotive programmes require traceable map coverage, update cadence and defect closure across models and regions.
01 · Target operating outcome
Define the change before choosing the technology
Which map defects consume the most validation kilometres or create the most customer complaints?
Lower defect escape and validation cost; faster SOP/change cycles; predictable lifetime map quality.
Target
Coverage and defect thresholds met; turnaround time agreed; traceability and release process accepted.
02 · Solution architecture
One connected flow from source data to operational action
Standard/HD map datasets, custom attributes, OTA update packages, change detection, ground-truth collection, benchmark and validation services. Mappls connects proprietary map and location intelligence with standard/hd map datasets, custom attributes, ota update packages, change detection, ground-truth collection, benchmark and validation services. 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
Route lab · Guidance simulator · Traffic scenarios · Road-event replay
Decision and outcome
Lower defect escape and validation cost; faster SOP/change cycles; predictable lifetime map quality.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Head Maps/Content
Sponsor / owner
Validation
Manager / analyst
Programme Management
Manager / analyst
CTO
Manager / analyst
VP Engineering
Operator / specialist
Quality
Operator / specialist
Test Fleet
Operator / specialist
Data Engineering
Operator / specialist
Homologation
Operator / specialist
Product manager
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
Standard 2D Map & Road Data
Road network, attributes, administrative boundaries and cartography
Product detailsRealView 360 & Ground Imagery
Geotagged 360 imagery, photos and videos
Product detailsSurvey, Integration & Managed Updates
Field survey, data creation, integration, migration, validation and O&M
Product details3D/4D/HD & Lane Map Data
3D city/terrain, near-real-time, high-definition and lane attributes
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Benchmark release over agreed routes/attributes with defect triage and delta-update demonstration.
- Confirm data, geography, users and workflow: What release cadence and acceptance suite apply? Which attributes/regions drive defects? How are field observations closed?
- Configure Mappls Navigation Lab for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Coverage and defect thresholds met; turnaround time agreed; traceability and release process accepted.
- Package production scope and commercial model: Annual data licence + release/update subscription + validation services.
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