This report evaluates decisions for Murano, a London-based Italian restaurant, planning to expand. It uses statistical and financial techniques to justify the decision-making process. Primary data is collected through surveys to understand customer preferences, while secondary data is gathered from publications to identify market trends. The analysis includes descriptive statistics, measures of dispersion, and correlation coefficients to assess sales, profitability, and customer awareness. Graphical presentations and trend lines are used for forecasting. The report also explores appropriate information processing tools like Gantt charts, network diagrams, and financial tools like Net Present Value (NPV) and Internal Rate of Return (IRR) to support the expansion decision. The findings suggest that Murano has a strong brand reputation, favorable customer preferences, and financial viability for expansion.