The paper explores the use of advanced big data analytics techniques to enhance policy responsiveness in the context of customer behavior analysis. The study focuses on leveraging large-scale data processing and analysis methods to extract valuable insights from customer actions, aiming to inform and improve policy-making processes. By applying innovative data-driven approaches, the research contributes to a deeper understanding of customer behavior patterns and their implications for policy formulation and adaptation. The paper underscores the significance of harnessing big data analytics in enhancing policy responsiveness and offers insights into the potential benefits of integrating data-driven decision-making into policy frameworks.

Enhancing, Policy Responsiveness, Big Data Analytics, Customer Action Analysis, Large-scale Data Processing