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Mobile Data Analytics: A Comprehensive Case Study

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Part of the Studies in Systems, Decision and Control book series (SSDC,volume 452)

Abstract

Mobile data analytics has been considered to be a field of enthusiastic development among the IT experts and business executives. Mobile data analytics is able to manage big data analytics on resource constricted devices. The features of mobile data analytics helps the user to track and measure the usage statistics and check how the clients are using the mobile application or website. The simple benefits of using mobile data analytics help in the process of enhancement of cross-channel promotional activities and in turn promote the mobile user experience for the users. However, it has been found that the use of mobile data analytics on services provided by a company requires high amount of processing power of the data being collected which exhibits a few difficulties in the process evaluation. Regardless of such issues, it has been found that most of the companies have found to improve their customer experience and provide the users with a better user experience after executing mobile data analytics of the data that they had collected from them. Such innovative case studies and other processes that are required for the completion of a successful mobile data analytics have been shared in this paper.

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Correspondence to Akash Bhattacharyya .

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Bhattacharyya, A., Singh, J. (2023). Mobile Data Analytics: A Comprehensive Case Study. In: Singh, J., Das, D., Kumar, L., Krishna, A. (eds) Mobile Application Development: Practice and Experience. Studies in Systems, Decision and Control, vol 452. Springer, Singapore. https://doi.org/10.1007/978-981-19-6893-8_7

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  • DOI: https://doi.org/10.1007/978-981-19-6893-8_7

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  • Print ISBN: 978-981-19-6892-1

  • Online ISBN: 978-981-19-6893-8

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