Case Study: Revolutionizing Vehicle Safety & Dealership Operations: Leveraging Data Pipelines at General Motors

Focus Areas:

General Motors concentrated on two primary improvements: vehicle safety enhancement and dealership operation advancements.

Executive Summary:

This study examines how I facilitated the data pipeline system to boost vehicle safety measures and improve dealership operations by adopting advanced data integration methodologies.

Product Goals:

• Enhance Vehicle Safety: Identify safety issues using data analytics.

• Streamline Operations: Optimize dealer interactions for improved service delivery.

• Enable Real-Time Decision Making: Provide quick data access for timely analysis.

Approach:

• Requirements Gathering: Engaged stakeholders to identify key data needs through structured meetings with internal teams and dealership representatives.

• System Design: Built a reliable system architecture by creating APIs for data access and implementing optimized database querying techniques.

• Data Pipeline Implementation:

o ETL Process: Data enters the secure warehouse through an automated process that extracts, transforms, and loads information.

o Data Warehousing: Designed a scalable architecture for quick data retrieval.

• User Interaction & Insights: Developed dashboards and reports that present essential business metrics, working closely with the UX/UI design team to incorporate user experience insights.

Results:

• CSAT Improvement: Customer Satisfaction (CSAT) scores increased by 30 points, while the user base grew by 10,000 individuals.

• Revenue Generation: Six AI-enabled OnStar features achieved a 15% growth in adoption rates, resulting in $50 million in revenue within one year.

• NPS Boost: Enhancements in vehicle safety features through ETL pipelines led to a Net Promoter Score increase from 45 to 68 over six months.

Lessons Learned:

• Collaboration: Essential for meeting business needs.

• Data Quality: Critical for reliable insights.

• Agile Iteration: Flexibility is key throughout the project lifecycle.

Conclusion:

The project established General Motors as a leader in safety and operational excellence through data-driven methods while creating a standard for future initiatives.

Reflection:

Working as a product manager on this project strengthened my ability to connect technical solutions to business objectives and promote innovation within the automotive industry.