Appning Forvia
Driving innovation with a unified Data and AI Platform
Summary
Building a future-ready Data and AI Platform for a leading in-car infotainment company, enabling the entire organization to access and act on trusted data efficiently and independently.
We partnered with Appning Forvia, a subsidiary of a global automotive technology leader, to design and build a centralized data platform. With tailored dashboards and automated pipelines, teams across the organization can now independently access, explore, and act on trusted data, reducing dependency on technical specialists and accelerating the pace of innovation.
Services
Industry
The Challenge
Fragmented data, manual reporting, and no single source of truth across the organization.
The organization's data was scattered across multiple systems and formats, making it difficult for teams to access reliable, up-to-date information. Reporting was manual and time-consuming, key metrics were inconsistent across departments, and there was no centralized way to monitor performance or compliance.
Problem 01
Scattered data and inconsistent metrics
- ▪Data fragmented across multiple systems and formats
- ▪Key metrics inconsistent from one department to the next
- ▪No centralized way to monitor performance or compliance
- ▪Teams unable to access reliable, up-to-date information
Problem 02
Manual reporting and limited self-service
- ▪Reporting was manual, slow, and error-prone
- ▪No intuitive dashboards for business users
- ▪Heavy reliance on technical specialists for data access
- ▪Needed a platform to consolidate data with self-service analytics
The Solution
We delivered the platform in two phases, building the foundation first, then stabilizing, expanding, and refining based on real user feedback from a structured pilot program.
01
Foundation: data model, platform, and core dashboards
Designed a new data model and platform architecture, delivered three dashboards covering 12 key metrics, and launched a pilot program with end users to collect structured feedback for the next iteration.
02
Scale and stabilize: pipelines, enhanced dashboards, and SLA views
Stabilized the platform, automated data pipelines with alerting and retry mechanisms, enhanced dashboards based on pilot feedback, ingested additional data sources, and delivered dedicated SLA views for compliance tracking.
Bronze Layer
The Digital Archive
All original data from 5 OEM databases collected for auditability and trust
Silver Layer
The Single Source of Truth
Raw data translated, cleaned, validated, and standardized
Gold Layer
Your Mission Control
Shaped into dashboards and reports for strategic decisions
The Result
Business Leaders
Empowered Teams
Data Teams
Technical Excellence
Impact
From fragmented data to a consistent, reliable platform enabling faster decisions, deeper visibility, and proactive compliance monitoring.
Reliable, Always Up-to-Date Platform
A consistent and monitored data environment that teams can trust for day-to-day decision-making, with automated pipelines ensuring information is always current.
Proactive Compliance Tracking
Dedicated SLA dashboards give the organization clear visibility into compliance status, enabling faster response times and reducing risk.
Self-Service Analytics and Autonomy
Teams across the organization can now independently explore data and generate insights without relying on technical specialists, accelerating the pace of innovation.
Methods
A structured, feedback-driven approach from platform architecture through pilot validation to production-ready dashboards and automated pipelines.
Data platform architecture
Data modeling
Pipeline automation
Dashboard development
SLA view design
Metric standardization
Pilot program design
User feedback integration
Iterative enhancement
Alerting and monitoring
Data source ingestion
Data governance