Development of a Scalable Cloud-Based Data Management and Aftermarket Solutions Platform

The client experiences inefficiencies and scalability limitations with their existing data platform, which hampers processing of large data volumes, leads to manual data handling, and affects data accuracy. They require a more robust, cloud-enabled system capable of supporting high concurrent data requests and ensuring data integrity for their automotive aftermarket services.

A leading automotive data management and services provider seeking to enhance their digital platform for data processing, distribution, and customer engagement.

• Implement a cloud-native, scalable data processing architecture supporting over 200 concurrent requests per second.
• Eliminate manual data entry through automation and integration, improving data accuracy and consistency.
• Develop modular data management solutions supporting versioning, data exchange, and schema evolution.
• Enable flexible data distribution to internal and external stakeholders via secure, automated workflows.
• Establish automated testing frameworks to ensure system reliability and facilitate continuous deployment.

• Automated ingestion pipelines for large and diverse data sources to standardize and aggregate data.
• Transformation services converting raw data into unified, predefined object schemas.
• Development of customer-facing modules for automating return processes and enabling end-user product reviews.
• Implementation of a scalable data storage solution supporting data versioning, field discovery, and real-time updates.
• API-driven data distribution system to ensure secure, efficient data sharing with internal and external systems.
• Incorporation of a microservices architecture following Data Mesh principles for scalable data deployment.
• Automated test framework with Behavior-Driven Development (BDD) and data-driven testing to ensure high system quality.

• Third-party data sources for ingesting automotive and aftermarket data
• Customer portals and B2B marketplace modules for process automation
• APIs for distribution of trusted data and product information

• System scalability supporting over 200 requests per second
• Real-time data processing and synchronization
• High data accuracy and integrity with version control
• Cost-effective, serverless architecture for maintenance efficiency
• Robust security measures to protect sensitive data and ensure compliance

The implementation of the proposed cloud-based, scalable data platform aims to significantly improve process automation, reduce manual interventions, and increase data reliability. It is expected to support high-volume data requests seamlessly, leading to faster data availability, enhanced customer experience, and laying a scalable foundation for future platform expansion.