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Development of a Dynamic Business Analytics and Reporting Platform for Automotive Stakeholders
  1. case
  2. Development of a Dynamic Business Analytics and Reporting Platform for Automotive Stakeholders

Development of a Dynamic Business Analytics and Reporting Platform for Automotive Stakeholders

relevant.software
Automotive
Manufacturing

Identifying Challenges in Automotive Data Integration and Reporting

The client faces difficulties in consolidating diverse vehicle data, generating timely reports on car ratings, defects, and areas for improvement, compounded by limited real-time data analysis capabilities and fragmented reporting processes, all within a constrained budget and tight timeline.

About the Client

A mid-sized automotive manufacturer seeking to enhance its data visibility, customer insights, and quality management through integrated analytics and reporting tools.

Key Goals for Implementing an Advanced Analytics Solution in Automotive Industry

  • Implement an integrated analytics platform that consolidates and manages vehicle performance and customer feedback data.
  • Enable dynamic, automatically updated reports on vehicle ratings, defects, and customer demographics to support decision-making.
  • Develop an internal administrative dashboard for user management, data oversight, and platform configuration.
  • Ensure timely delivery of a functional demo within a one-month timeframe, establishing a foundation for ongoing maintenance and feature expansion.
  • Achieve a scalable solution optimized for limited budgets and rapid deployment cycles.

Core Functional Features for Automotive Data Analytics Platform

  • User Demographics Data Module: Collect and analyze customer data such as location, education, and age.
  • Automated Report Generation: Enable real-time dashboard reports that update automatically with incoming data feeds.
  • Admin Dashboard: Provide platform management features including user creation, authorization, and system configuration.
  • Data Integration Layer: Support seamless connection to internal and external data sources for vehicle performance, defects, and customer feedback.
  • Security and Access Controls: Implement role-based access to ensure data security and privacy.

Preferred Technology Stack for Automotive Analytics Platform

React.js for frontend development
Express for backend server
Bootstrap for UI styling
PostgreSQL for data storage
Cloud hosting on AWS
Power BI or equivalent for advanced reporting

Essential External Systems and Data Source Integrations

  • Vehicle data sources for real-time performance metrics
  • Customer management and demographics systems
  • Defects and quality assurance databases
  • Reporting tools for automated report generation

Key Non-Functional Requirements for System Reliability and Performance

  • Scalability to handle increasing vehicle data and user load
  • High availability with 99.9% uptime
  • Fast data processing enabling report updates within seconds
  • Data security compliance including role-based access control
  • Responsive interface optimized for various devices

Projected Business Benefits and Outcomes of the Analytics Platform

The deployment of this dynamic analytics and reporting platform is expected to streamline vehicle data analysis, reduce report generation time, and enhance decision-making capabilities. Targeted impacts include improved customer insights, quicker identification of defects, and data-driven improvement initiatives, ultimately leading to better vehicle quality and customer satisfaction. Past benchmarks suggest rapid delivery within a month, allowing early value realization and ongoing platform enhancements.

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