Data-Driven Monetization Strategies for Economic Insights: Models, Tools, and Impact on Decision-Making

Abstract

This chapter examines data-controlled financialization strategies and their transformational impact on economic decision-making. With data in the digital economy becoming a central advantage, organizations use direct and indirect models to extract value from selling raw data and analytics services to improve internal processes and customer experiences and drive product innovation. Integrating advanced tools such as business intelligence, predictive analytics, and artificial intelligence allows businesses to generate implementable knowledge and gain competitive advantages. In addition to implementing technology, research highlights how important it is to foster a data-centric culture, bridge cross-functional expertise, and consider ethical considerations concerning privacy and transparency. Through industry-specific case studies and analysis, this work demonstrates how data control approaches increase profitability and support resilient, informed, and adaptive decisions.

keywords Data, Decision-Making, Economics, Decision-making