Cross-functional data modeling and data mart design for sales intelligence

The sales intelligence (SI) is highly dependent on the collaboration of data among various business functions in modern enterprises. Cross-functional data modeling helps organizations to unify information available in sales, marketing, finance as well and operations in cohesive structures in order to facilitate proper analysis and decision-making. Oracle Data marts, which are modeled with dimensional modeling tools, offer topic-based repositories that enhance query performance and actionable insights. This review presents an overview of the existing methodologies of cross-functional data modeling and data mart design, best practices, integration issues, and enhancing the sales intelligence system. The research indicates the significance of the organized, scalable strategies to assist with real-time and predictive analytics in selling.