Data visualization: analysing factors of diabetes using business intelligent

This project aims to use data visualization and a Business Intelligent (BI)-based dashboard to identify risk factors for diabetes. It emphasizes the need for funding to improve diabetes treatment and addresses the misalignment of healthcare management with national priorities, like in India. The project involves analysing diagnostic measurements in a diabetes dataset, creating a user-friendly dashboard using tools like Figma and Canva, and conducting user testing. The stages include planning, analysis, design, development, and testing, all focused on visualizing diabetes-related information. The dataset is transformed and loaded into the dashboard using Extract, Transform, and Load (ETL) methods, and visualization tools are used to present the data. A user acceptability test (UAT) with 30 participants, including diabetic patients, evaluates the effectiveness of the dashboard in helping patients understand diabetes factors. The results support the value of the Visualization of Diabetes Factors dashboard while identifying areas for improvement.