Leveraging Big Data Analytics for Strategic Decision-Making in the Retail Industry: A Case Study Approach

Abstract

The retail industry is experiencing a lot of pressure from new technology, customers’ needs, and competition. This Case Study aims at examining the role of big data analytics in improving strategic management in Retail Corp, an Indian retail firm. The paper is devoted to the discussion of the effects of big data in inventory management, customer categorization, and specific marketing. The study assesses the effects of big data analytics on strategic management and operational performance by using qualitative interviews with executives, document analysis, and big data tools like Apache Hadoop, Spark, and Tableau. The research confirms that big data analytics enhances customer satisfaction, organizational performance, and profitability with significant changes in sales revenue, profit margin, and market share. However, some issues are connected with data privacy, integration and the amount of resources required in the process. Therefore, the study establishes that big data analytics is crucial for sustaining competitive advantage in the retail industry and provides practical recommendations for improving customer satisfaction and organizational performance.