Murano Restaurant: Business Decision Making and Data Analysis Report

This report focuses on the business decision-making process for Murano Restaurant, which plans to open a second location in London. The report details the collection of primary and secondary data, including survey methodology and questionnaire design. It analyzes data using statistical tools like mean, median, mode, standard deviation, correlation, and percentiles to assess sales performance and identify trends. The analysis includes an examination of sales records, dispersion, and correlation coefficients to evaluate the restaurant's current standing and future growth potential. The study also presents a business presentation and formal report, considering appropriate information processing tools, critical path analysis, and financial tools for making informed investment decisions. The report concludes with recommendations for the restaurant's expansion, emphasizing the importance of data-driven decision-making for sustainable success. The document is contributed by a student to be published on the website Desklib.