Primary operating owner
Head Maps/Content; Validation; Programme Management
P29 · Representative solution case · Automotive / Tier-1 / OEM
Automotive Map Data, Updates & Validation
Which map defects consume the most validation kilometres or create the most customer complaints?
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
Automotive programmes require traceable map coverage, update cadence and defect closure across models and regions.
Economic decision
CTO; VP Engineering
Technical influence
Quality; Test Fleet; Data Engineering; Homologation
Why action becomes urgent
New SOP, geography expansion, map supplier review, quality escalation, OTA migration, ADAS feature expansion.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
Automotive programmes require traceable map coverage, update cadence and defect closure across models and regions.
- 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
Standard/HD map datasets, custom attributes, OTA update packages, change detection, ground-truth collection, benchmark and validation services.
- One role-aware workspace in Mappls Navigation Lab
- 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
Head Maps/Content
Own and govern
Validation
Decide and coordinate
Programme Management
Decide and coordinate
CTO
Decide and coordinate
VP Engineering
Execute and verify
Quality
Execute and verify
Test Fleet
Execute and verify
Data Engineering
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
What release cadence and acceptance suite apply? Which attributes/regions drive defects? How are field observations closed?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Navigation workspace.
Act through role workflows
Route lab, Guidance simulator, Traffic scenarios, Road-event replay give each stakeholder the information, decision and action appropriate to their role.
Prove the intervention
Benchmark release over agreed routes/attributes with defect triage and delta-update demonstration.
Scale and continuously improve
Operationalise the model through Annual data licence + release/update subscription + validation services., 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
Route lab · Guidance simulator · Traffic scenarios · Road-event replay
Outcome loop
Coverage and defect thresholds met; turnaround time agreed; traceability and release process accepted.
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 details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
Benchmark release over agreed routes/attributes with defect triage and delta-update demonstration.
- Confirm the baseline and decision scope: What release cadence and acceptance suite apply? Which attributes/regions drive defects? How are field observations closed?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Coverage and defect thresholds met; turnaround time agreed; traceability and release process accepted.
- 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 Automotive Map Data, Updates & Validation into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.