Authors Name:- Sachin Tyagi, Gyand Chand Gupta
Abstract:- In today's fast-paced business world, mobile advertising and marketing have become an essential part of any marketing strategy. With the rise of big data and cloud computing, businesses are now able to collect and analyze vast amounts of data from mobile devices in real-time. However, the challenge remains in designing a cloud analytics service framework that can efficiently process, analyze, and extract valuable insights from mobile advertising and marketing data. This paper presents a comprehensive review of the existing literature on designing a cloud analytics service framework for mobile advertising and marketing. We review the state-of-the-art cloud analytics service frameworks, their strengths, limitations, and gaps in the context of mobile advertising and marketing. Based on this review, we propose a cloud analytics service framework that addresses the current limitations and gaps in the existing frameworks.
Keywords:- Cloud analytics, mobile advertising, mobile marketing, big data processing, deep learning, data anonymization, data processing, data analysis, unsupervised learning, reinforcement learning
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