Modeling

This chapter focuses on the modeling phase in CRISP-DM based business data analytics projects, beginning with an exploration of various modeling methods. It guides you through techniques for comparing business decisions, finding clusters, discovering rules and relationships, and making predictions about categorical and numeric values as well as future developments. Each section not only explains the methodology but also its application in real-world business scenarios. To support practical application, the chapter includes a business case exercise that applies these concepts to find clusters in the whisky market, demonstrating the practical utility of modeling in uncovering valuable business insights.