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Global Production Data Visualization Platform for Automotive Manufacturing
  1. case
  2. Global Production Data Visualization Platform for Automotive Manufacturing

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Global Production Data Visualization Platform for Automotive Manufacturing

neoteric.eu
Automotive
Manufacturing

Current Challenges in Production Data Analysis

Production data from 36 plants is fragmented across multiple systems with inconsistent formats, requiring manual consolidation through unreliable tools and time-consuming processes. This creates delays in accessing critical metrics like productivity, downtime, and scrap rates, while tight deadlines demand rapid validation of digital solutions.

About the Client

A global technology company supplying systems for passenger cars, commercial vehicles, and industrial technology with 168 production locations across 32 countries

Project Goals for Data Visualization Solution

  • Develop a centralized data visualization application for real-time production metrics
  • Integrate disparate data sources from global manufacturing plants
  • Validate technical feasibility through rapid proof-of-concept implementation
  • Enable cross-plant comparative analysis for process optimization

Core System Functionalities and Features

  • Interactive real-time dashboards with drill-down capabilities
  • Multi-source data integration connectors
  • Customizable KPI visualization templates
  • Role-based access control for different user groups
  • Offline data caching with synchronization capabilities

Technology Stack Requirements

Angular
NestJS
TypeScript
Adobe XD

System Integration Needs

  • Legacy plant production monitoring systems
  • Enterprise resource planning (ERP) platforms
  • Existing analytics infrastructure
  • User authentication systems

Non-Functional Requirements

  • Horizontal scalability for 100+ concurrent users
  • Sub-second dashboard refresh rates for critical metrics
  • Role-based data security compliance (GDPR/ISO 27001)
  • 99.9% system uptime SLA
  • Modular architecture for future AI/ML integration

Expected Business Outcomes

Centralized visualization will reduce data analysis time by 70%, enabling proactive production optimization across global plants. The solution will create a foundation for predictive maintenance capabilities while improving cross-plant benchmarking and operational decision-making efficiency.

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