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Business intelligence and data analytics system for mobile money

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Published:02 December 2019Publication History

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NOTICE OF CONCERN: ACM has received evidence that casts doubt on the integrity of the peer review process for the DATA 2019 Conference. As a result, ACM is issuing a Notice of Concern for all papers published and strongly suggests that the papers from this Conference not be cited in the literature until ACM's investigation has concluded and final decisions have been made regarding the integrity of the peer review process for this Conference.

ABSTRACT

Developing a Business Intelligence system has a major benefit for business owners as it supports and helps with decision making and strategy development, where a well-designed business intelligence system enables businesses to have a full and holistic view of the historical, current and future insights based on the available data. In this paper we develop a business intelligence system that can be deployed for a mobile money system to serve different user groups based on the needs and business goal of each group.

References

  1. Mugambi, A., Njunge, C. and Yang, S. 2014. Mobile-Money Benefits and Usage: The Case of M-PESA. IT Professional, 16 (3), 16--21. DIO Google ScholarGoogle ScholarCross RefCross Ref
  2. Tobbin. P. 2011. Understanding Mobile Money Ecosystem: Roles, Structure and Strategies. 10th International Conference on Mobile Business (Como, Italy). IEEE. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Saxena. A., Lal Das. M. and Gupta. A.,2005. MMPS: a versatile mobile-to-mobile payment system. International Conference on Mobile Business (ICMB'05) (Sydney, NSW, Australia). IEEE. DIO Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Siemen. C., Clever. N., Barann. B. and Becker. J.2018. Requirements Elicitation for an Inter-Organizational Business Intelligence System for Small and Medium Retail Enterprises. IEEE 20th Conference on Business Informatics (CBI) (Vienna, Austria). IEEE. DIO Google ScholarGoogle ScholarCross RefCross Ref
  5. Darvish. H. and Husain. M.,2018. Security Analysis of Mobile Money Applications on Android. IEEE International Conference on Big Data (Big Data) (Seattle, USA). IEEE. DIO Google ScholarGoogle ScholarCross RefCross Ref

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  1. Business intelligence and data analytics system for mobile money

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    • Published in

      cover image ACM Other conferences
      DATA '19: Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems
      December 2019
      376 pages
      ISBN:9781450372848
      DOI:10.1145/3368691

      Copyright © 2019 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 December 2019

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      • research-article

      Acceptance Rates

      DATA '19 Paper Acceptance Rate58of146submissions,40%Overall Acceptance Rate74of167submissions,44%

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