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Data Migration and System Modernization for LED Technology Company
  1. case
  2. Data Migration and System Modernization for LED Technology Company

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Data Migration and System Modernization for LED Technology Company

https://soltech.net
Manufacturing
Information technology

Legacy System Limitations Hindering Operational Efficiency

The client faced challenges migrating 15 years of project data from an outdated database system to a modern platform supporting robotic process automation and smart workflows. The legacy system caused operational inefficiencies, high maintenance costs, and risks to customer support due to inaccurate data transfer. Temporary coexistence of systems added complexity and budgetary concerns.

About the Client

Pioneering LED technology company specializing in cutting-edge LED solutions and displays, focused on digital transformation and human-inspired solutions.

Strategic Goals for System Modernization

  • Streamline operations through advanced data management capabilities
  • Reduce costs by eliminating legacy system maintenance
  • Ensure accurate data migration for critical warranty and inventory management
  • Enable seamless integration with robotic process automation tools
  • Minimize operational disruption during transition

Core System Capabilities

  • ETL (Extract, Transform, Load) pipeline for historical data migration
  • Data cleansing and merging capabilities
  • Integration with SoftExpert platform
  • File management system for 20,000+ documents
  • Parallel system operation support during transition

Technology Stack Requirements

ETL tools
SoftExpert platform
Quickbase integration

System Integration Needs

  • Legacy database systems
  • Robotic process automation tools
  • Inventory management systems

Performance and Security Standards

  • High data accuracy (99.9%+)
  • System scalability for future growth
  • Minimal downtime during migration
  • Data encryption and compliance
  • Cross-platform compatibility

Expected Business Transformation Outcomes

Successful implementation will enable cost savings through legacy system decommissioning, improve operational efficiency with searchable data management, enhance customer support capabilities via accurate engineering data retention, and position the company for future innovation through automated workflows and smart system integration.

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