• Centralizing fragment project and cost data into a scalable architecture, aligning disparate systems to enable consistent analytics and reporting across the enterprise
• Showcasing how the team is building automated ingestion pipelines, applying business logic for data quality and standardization, and ensuring datasets are intuitive and accessible even for non-technical users
• Explaining how this drives company-wide data literacy and supports self-service dashboard

CASE STUDY