Data analytics has become a strategic imperative for B2B organisations seeking sustainable product and service differentiation. Yet a critical research gap persists regarding how B2B firms systematically leverage analytics capabilities drawn from CRM, ERP, and IoT data to create value-based and solution-based differentiation. This study integrates the Resource-Based View (RBV) and Dynamic Capabilities frameworks to examine how analytics capabilities enable B2B organisations to develop and sustain differentiated value propositions across complex supply chain ecosystems. Employing a mixed-methods approach combining 18 semi-structured interviews with B2B practitioners across manufacturing, industrial technology, and professional services, followed by a survey of 347 B2B firms analysed using PLS-SEM, our findings reveal three interconnected analytics capabilities driving differentiation: predictive market sensing, prescriptive solution orchestration, and supply chain intelligence integration. Quantitative analysis confirms that data analytics capability significantly influences both value-based and solution-based differentiation, with dynamic capabilities mediating this relationship. We propose a Data Analytics-Driven Differentiation (DADD) framework explicating how B2B firms transform heterogeneous data into VRIN analytics capabilities. Theoretically, the study extends RBV and dynamic capabilities literature; managerially, it provides actionable guidance for designing adaptive, customer-centric, analytics-driven differentiation strategies.