This project aimed to analyse key variables influencing businesses across sectors such as Banking and Asset Management. Employing fundamental Python concepts like for-loops and user-defined functions, along with data manipulation and visualization using Pandas and NumPy libraries, the objective was to identify the most promising countries and suitable investment types for a firm. The overarching strategy focused on following existing investment trends, ultimately pinpointing the best countries based on high investor activity.