Business Analytics Individual Assignment Report for NIT3171 Course

This report presents a comprehensive business analytics analysis of a medical clinic's data, fulfilling the requirements of an individual assignment for the NIT3171 Business Analytics course. The analysis encompasses descriptive statistics, including patient demographics (cities, ethnicity, gender, age), drug usage, and reasons for visits. Predictive modeling is employed to forecast annual income and the number of cold and flu cases. Furthermore, the report investigates associations between diseases and proposes prescriptive recommendations for enhancing annual revenue, patient regularity, and overall clinic performance. The analysis is based on the provided clinic data, with the aim of identifying the business's current state, strengths, weaknesses, and potential development approaches, ultimately guiding decisions regarding expansion and operational improvements. The report also includes statistical details of data, such as the highest 10 descriptions, drugs, and reasons, estimated percentage of each type (antibiotic, chronic and pain relief), graph showing the highest cities and years, percentage of patients who use private health insurances, average of diabetic patients and the binomial distribution, and cities (suburbs) that host less than 20% of diabetics.