From Data to Decisions: A Case Study on Real-Time Customer Insights Using Business Analytics Tools
DOI:
https://doi.org/10.66635/m1mvfz29Keywords:
Business Analytics, Real-Time Data, Customer Insights, Decision-Making, Case Study, AI Tools, Entrepreneurial EcosystemsAbstract
In today’s hyper-competitive and digitally connected markets, organizations increasingly rely on real-time customer insights to support fast and effective managerial decision-making via interactive dashboards and BI tools (Rahman et al., 2025; Wamba et al., 2023). Real-time segmentation and personalization enabled by advanced analytics have been shown to significantly improve customer engagement and conversion outcomes (Dash & Ansari, 2022; Data Calculus BI case studies, 2026). This study presents an in-depth case study of a mid-sized Indian e-commerce retail organization that adopted real-time business analytics tools to address declining customer engagement and inconsistent conversion rates. Using transaction data, web analytics, and CRM data collected over a six-month period (April 2025 – September 2025), interactive dashboards and analytical models were developed using Power BI and Google Analytics. The study contributes practical evidence to the growing literature on analytics-driven decision-making by demonstrating how real-time dashboards and customer segmentation can enhance marketing effectiveness. The paper also highlights managerial implications for entrepreneurs and managers seeking to leverage analytics tools in resource-constrained environments.
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