Modernized Automotive Data Curation and Analytics Platform Development

The client operates a legacy system built with outdated tools that limits scalability, hampers data curation efficiency, and constrains editorial workflow. The existing on-premise platform prevents rapid updates across multiple automotive segments and markets, leading to inefficiencies and manual workload. The need for a more advanced, flexible, and scalable platform to support expert data curation, analytics, and improved publishing workflows is critical.

A mid-sized automotive data provider specializing in vehicle pricing, analytics, and industry insights seeking to enhance its data management and editorial workflows.

• Develop a scalable, cloud-based automotive data management platform to replace legacy systems.
• Enhance editorial workflow efficiency with powerful editing, reporting, and analytics tools.
• Integrate all relevant data sources to support comprehensive vehicle pricing analysis and reduce manual effort.
• Implement advanced analytics with suggestions for price adjustments and improved editorial control.
• Support multiple automotive segments and markets, expanding coverage beyond initial scope.

• User-friendly web interface supporting editors with powerful editing, reporting, and analytics tools.
• Data assembly layer combining relational and historical data for comprehensive insights.
• Automated data ingestion and publication via machine-to-cloud APIs.
• Role-based access control to ensure editorial oversight and data security.
• Advanced analytics with suggestions for pricing adjustments based on data trends.
• Support for multiple automotive segments and geographic markets within a unified platform.
• Real-time data updates and historical data tracking for trends analysis.

• External automotive data sources for data ingestion
• Publishing platforms for data distribution
• Analytics and reporting tools for advanced data insights

• Scalability to support expanding automotive segments and markets
• High performance with real-time data processing and updates
• Security measures for sensitive data and access control
• Availability and reliability aligned with enterprise-grade standards

The new cloud-based automotive data management and editorial platform is expected to significantly improve operational efficiency, expand coverage to multiple automotive segments and regions, reduce manual data handling, and enhance data accuracy. Objectives include supporting multi-channel data publication and analytics, enabling faster decision-making, and scaling easily to accommodate future growth.