Big Data Analytics for Real-Time Marketing: Opportunities and Challenges
DOI:
https://doi.org/10.62802/0tybm167Keywords:
Big Data Analytics, Real-Time Marketing, Customer Segmentation, Predictive Analytics, Data Privacy, Algorithmic Bias, Agile Decision-Making, Marketing StrategiesAbstract
Big Data Analytics has revolutionized real-time marketing by enabling organizations to process vast amounts of data to deliver personalized and timely customer experiences. This research explores the opportunities provided by Big Data Analytics in transforming marketing strategies, such as enhanced customer segmentation, predictive analytics for targeted campaigns, and dynamic content delivery. It highlights how real-time data processing facilitates agile decision-making, allowing businesses to adapt to rapidly changing market conditions. Simultaneously, the study addresses the challenges of Big Data Analytics, including data privacy concerns, the integration of diverse data sources, and the complexities of algorithmic biases. By analyzing case studies and emerging trends, the research underscores the critical role of Big Data in fostering innovation while proposing actionable solutions to overcome its limitations. The findings demonstrate that effective utilization of Big Data Analytics can empower businesses to stay competitive in the fast-paced digital landscape.
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