Integrating IoT Analytics into Marketing Decision Making: A Smart Data-Driven Approach

Author:

Preethi Rajan

Abstract

With the advent of the Internet of Things (IoT), businesses have gained access to vast amounts of data generated by interconnected devices. Leveraging IoT analytics and marketing intelligence, organizations can extract valuable insights from this data to enhance decision-making processes. This paper presents a comprehensive methodology for data-driven decision-making in the context of IoT analytics and marketing intelligence. A real-time example is used to illustrate the application of this methodology, followed by an inference and discussion of the results. The rise of IoT has enabled real-time data collection from a wide array of interconnected devices, offering unprecedented opportunities for businesses to gain actionable insights. This paper focuses on the intersection of IoT analytics and marketing intelligence, exploring how data-driven decision-making can empower organizations to optimize their marketing strategies, customer experiences, and overall business performance.

Publisher

Prisma Publications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Intelligent Based IoT System to Predict Proactive Paroxysms Using EDA Sensor;2024 7th International Conference on Devices, Circuits and Systems (ICDCS);2024-04-23

2. Intelligent Decision-making Algorithm for IoT Enabled Smart shopping;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

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