IoT, Big Data, and marketing analytics: ensuring data security in real-time customer insights

This paper seeks to showcase how the integration of IoT, Big Data and marketing analytics is revolutionizing how businesses get real-time customer insights. This empirical work explores these technologies and the relationship between them concentrating on the impact of personalization, data protection, and customer interaction. Smart objects are the source of real-time data, which is transformed into smart information by the Big Data activity and Internet of Things (IoT) predictive models. Analytics 3.0 and MapReduce are the main frameworks that allow handling large data sets at a massive scale. The study reveals how blockchain technology plays a crucial role in maintaining data authenticity and the issue of privacy. Through considering factors like integration and the use of data, this paper presents a novel assessment of these technologies. Thus, the study highlights the need for a combined approach to improve the marketing processes and build up customer confidence for utilizing the concept as a blueprint for future developments in secure, data-driven marketing.