Breast Cancer Survival & Genomic Insights (METABRIC)

Project Overview

This project demonstrates how Business Intelligence tools can be applied to complex clinical and genomic healthcare data to uncover meaningful insights into breast cancer outcomes using the METABRIC dataset.

It integrates patient demographics, tumour characteristics, biomarker profiles, treatments, and genomic mutations to provide transparent, decision-focused analytics for clinicians, researchers, and policymakers.

Project Goal

• Transform complex clinical and genomic data into actionable insights
• Support early detection and personalised treatment strategies
• Enable evidence-based healthcare and policy decisions
• Deliver an interactive and scalable BI solution

Project Results & Visual Output

Below are sample dashboards and visual outputs from the METABRIC Power BI solution. These dashboards illustrate patient survival analysis, treatment effectiveness, biomarker patterns, and genomic mutation insights in an interactive and interpretable format.

Breast Cancer METABRIC Cohort Dashboard: Clinical and Genomic Insights

Key Features & Achievements

• Analysed clinical and genomic data for 1,092 patients
• Designed a star-schema data model for scalable analytics
• Built interactive Power BI dashboards on survival and treatment outcomes
• Created advanced DAX measures for KPIs like survival & relapse-free rate
• Identified links between tumour stage, biomarkers, and survival
• Integrated mutation analysis for precision-medicine insights

Technologies Used

Use Cases

• Clinical decision support systems
• Cancer research & epidemiology
• Healthcare policy planning
• Precision medicine & genomics
• Executive dashboards for hospitals

What This Project Demonstrates

This project showcases the ability to build a production-quality healthcare BI solution that integrates clinical, treatment, and genomic data to deliver transparent, interpretable, and decision-focused insights.