Leveraging Real-Time Analytics for Strategic Agility: A Telecom Sector Case Study on Business Intelligence Transformation

This research explores the ways in which real-time data analytics are changing the way strategic decisions are made in the telecom industry. Traditional batch processes frequently produce delays and require reacting which affects how efficiently operations are done. Integrating Apache Kafka and Spark in real time allows telecom companies to deal with continuous data, improve their interactions with customers, detect fraud and predict when maintenance is required. Secondary data, an interpretivism outlook and qualitative thematic analysis are used to study the hurdles in implementation, key technology roles and what strategies were successful. The results confirm that live data analysis improves an operator's responsiveness, boosts business intelligence and helps the company function in a challenging, data-centered industry.