Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P22 · Implementation blueprint · Mappls Map Studio
Enterprise Map Engine, APIs & Location Intelligence
Teams depend on fragmented or costly global location services and inconsistent India address/map quality, slowing product and operations.
01 · Target operating outcome
Define the change before choosing the technology
What is the annual cost—in licence, engineering and failed location outcomes—of your current map/location stack?
Business case: API/licence savings, higher match/route quality, lower build/maintenance effort, data sovereignty and faster feature delivery.
Target
Quality/latency/SLA thresholds; engineering effort; TCO comparison; security approval; migration/production decision date.
02 · Solution architecture
One connected flow from source data to operational action
Map tiles/SDKs, geocoding, search, routing, distance matrix, navigation, traffic, map engine, analytics and managed/custom data APIs. We benchmark the current stack on your own India use cases and commercial volumes, then propose a low-risk migration or dual-source plan.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Layer catalogue · Style editor · Data quality · Publish centre
Decision and outcome
API/licence savings, higher match/route quality, lower build/maintenance effort, data sovereignty and faster feature delivery.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
CTO/CIO
Sponsor / owner
VP Engineering
Manager / analyst
Head Product/Platform
Manager / analyst
Digital Transformation Head
Manager / analyst
CTO/CPO/COO
Operator / specialist
Government Department Head
Operator / specialist
Engineering/Architecture
Operator / specialist
GIS
Operator / specialist
Data/AI
Operator / specialist
Information Security
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
Map Tiles & Maps SDK
Web/mobile maps, vector/raster tiles and visualisation
Product detailsRouting & Distance Matrix
Car, truck, two-wheeler, pedestrian and multimodal routes
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsStandard 2D Map & Road Data
Road network, attributes, administrative boundaries and cartography
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
2–4 week API/data benchmark and one application integration; no broad PoC before success criteria and production path are agreed.
- Confirm data, geography, users and workflow: API mix/volume? Match/error rates? Latency/SLA? India-specific gaps? Deployment/security? Renewal date and contract rights?
- Configure Mappls Map Studio for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Quality/latency/SLA thresholds; engineering effort; TCO comparison; security approval; migration/production decision date.
- Package production scope and commercial model: Usage/transaction, enterprise commit, site/on-prem licence, data subscription and NRE/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