Goal:

Design and deliver a clean end-to-end Fantasy Premier League analytics solution capable of transforming raw football API data into interactive Power BI dashboards for player performance analysis, league intelligence, and fantasy football decision support.

The project was built to demonstrate practical business intelligence delivery using structured data modelling, transformation pipelines, semantic KPI development, and modern dashboard storytelling techniques.

Primary outputs:

• Interactive Power BI reporting solution
• Fantasy player performance analytics
• League standings and match insights
• Star-schema analytical data model
• Reusable DAX semantic layer
• API-driven football data ingestion
• Business-focused analytical KPIs
• Portfolio-ready BI case study documentation

🎯 Problem Statement

Fantasy football users are exposed to large volumes of raw football statistics across multiple platforms, making it difficult to quickly identify meaningful player insights, compare performance metrics, and evaluate fantasy value effectively.

Most publicly available football statistics lack:

• structured analytical modelling
• interactive decision-support reporting
• consolidated KPI storytelling
• player value analysis
• simplified fantasy-focused insights