Transitioning Legacy Data Systems to Cloud for Enhanced Retail Insights

In this study, we examine the process of transitioning legacy retail data systems to cloud-based architectures to harness enhanced data insights, streamline operations, and improve customer experiences. The research explores key methodologies, from identifying suitable cloud platforms to designing data migration strategies that ensure minimal disruption. This paper also assesses the impact of cloud transition on data analytics capabilities and business intelligence (BI), emphasizing the advantages of real-time analytics and scalability offered by cloud solutions. The findings suggest that cloud migration in retail significantly enhances data accessibility, predictive analytics, and personalization, leading to more informed business decisions and improved customer engagement.