Big Data Precision Marketing Approach under IoT Cloud Platform Information Mining

Area of Science:

• Information Technology
• Data Science
• Marketing

Background:

• Precision marketing requires robust data infrastructure and advanced analytical techniques.
• The telecommunications industry is evolving with mobile dominance, triple play services, and emerging technologies like IoT and cloud computing.
• Existing data storage and service models may not fully address the complexities of big data in marketing.

Purpose of the Study:

• To develop and analyze a precision marketing approach using an Internet of Things (IoT) cloud platform and big data mining.
• To investigate the current landscape of big data marketing, including macro, micro, and industry environments.
• To propose and validate a novel data mining service model for big data alliances.

Main Methods:

• Construction of an IoT cloud platform integrating MySQL and MongoDB databases for efficient data storage and retrieval.
• Optimization of IoT temporal data storage using time-slot-based methods and MongoDB clustering for scalability and disaster recovery.
• Review and analysis of big data marketing theories, combined with practical experience, to assess the current market situation.
• Development of a data mining service model based on user needs and alliance resources, categorized into self-service and consulting modes.
• Empirical validation of the proposed service model using a Big Data Industry Alliance.

Main Results:

• The integrated database approach (MySQL and MongoDB) enhances data storage correctness and access speed.
• Time-slot storage and MongoDB clustering significantly improve the efficiency and scalability of IoT temporal data management.
• The proposed data mining service model, encompassing customized and intelligent guarantees, is scientifically rational and applicable.
• The empirical study confirmed the model's effectiveness in a real-world Big Data Industry Alliance setting.

Conclusions:

• The developed IoT cloud platform and big data mining techniques provide an effective framework for precision marketing.
• Optimized data storage and scalable database solutions are crucial for handling large volumes of IoT data.
• The proposed data mining service model offers a structured approach to delivering value from big data in marketing contexts.
• The study highlights opportunities and challenges for telecommunications operators in the era of big data and emerging technologies.