Analyzing Big Data in Consumer Goods Retailing: A Comprehensive Report

This report provides a comprehensive analysis of big data's impact on the consumer goods retailing sector. It explores how retailers leverage big data to understand consumer behavior, optimize marketing strategies, and improve operational efficiency. The report discusses the challenges of managing and analyzing large datasets, including data storage, matching data across repositories, and ensuring data reliability. It highlights the importance of predictive analytics and the integration of big data into organizational architecture. The report also examines factors for success, such as securing quick wins, gaining executive sponsorship, and looking for external examples. It delves into predictive analytic techniques, including predictive and descriptive models, and outlines the process of predictive analytics, including project definition, data collection, analysis, statistical modeling, and deployment. Overall, the report emphasizes the transformative potential of big data in enhancing decision-making and driving business performance in the consumer goods retailing industry.