Report on Data Analysis of Airtel Kenya Dataset with SAS Software

This report presents an analysis of Airtel Kenya's operational costs using SAS On-Demand software. The analysis focuses on the company's spending over the past year, aiming to identify areas for cost reduction. The dataset includes variables such as labor cost, setup cost, and error repair cost across different departments. The analysis involves data formatting, statistical tests like correlation and ANOVA, and visualizations to identify trends and relationships within the data. Findings highlight the significant impact of error repair costs on overall operational expenses. Recommendations are provided to reduce costs, including minimizing unwanted spending, deploying automated systems, and reviewing processes to prevent errors. The report concludes by emphasizing the importance of addressing error-related costs and offers insights for more efficient labor allocation.