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Open Access Journal Article

Management Information Systems and Business Analytics

by Olivia Brown 1,*
1
Olivia Brown
*
Author to whom correspondence should be addressed.
IRBM  2022 4(2):31; https://doi.org/10.69610/j.irbm.20220815
Received: 16 June 2022 / Accepted: 14 July 2022 / Published Online: 15 August 2022
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Abstract

This paper investigates the intricate relationship between Management Information Systems (MIS) and Business Analytics, exploring how these two disciplines intersect to enhance decision-making processes within organizations. The study delves into the role of MIS in facilitating data collection and storage, which serves as the foundation for business analytics. It further examines how advanced analytics techniques, such as predictive modeling and data mining, can be leveraged to extract actionable insights from vast amounts of data. The paper argues that a synergistic approach to integrating MIS and business analytics can lead to more informed and strategic decision-making. Through case studies and literature review, the paper evaluates the effectiveness and limitations of various analytical tools and methodologies in the context of MIS implementation. Additionally, it discusses the challenges organizations face in adopting and sustaining a data-driven culture. Finally, the paper proposes recommendations for organizations seeking to optimize their MIS and business analytics practices.

Keywords: Management Information Systems; Business Analytics; Decision-Making; Data-Driven Culture; Analytical Tools.;
Copyright: © 2022 by Brown. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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APA Style
Brown, O. (2022). Management Information Systems and Business Analytics. International Review of Business & Management, 4(2), 31. doi:10.69610/j.irbm.20220815
ACS Style
Brown, O. Management Information Systems and Business Analytics. International Review of Business & Management, 2022, 4, 31. doi:10.69610/j.irbm.20220815
AMA Style
Brown O. Management Information Systems and Business Analytics. International Review of Business & Management; 2022, 4(2):31. doi:10.69610/j.irbm.20220815
Chicago/Turabian Style
Brown, Olivia 2022. "Management Information Systems and Business Analytics" International Review of Business & Management 4, no.2:31. doi:10.69610/j.irbm.20220815

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ACS Style
Brown, O. Management Information Systems and Business Analytics. International Review of Business & Management, 2022, 4, 31. doi:10.69610/j.irbm.20220815
AMA Style
Brown O. Management Information Systems and Business Analytics. International Review of Business & Management; 2022, 4(2):31. doi:10.69610/j.irbm.20220815
Chicago/Turabian Style
Brown, Olivia 2022. "Management Information Systems and Business Analytics" International Review of Business & Management 4, no.2:31. doi:10.69610/j.irbm.20220815
APA style
Brown, O. (2022). Management Information Systems and Business Analytics. International Review of Business & Management, 4(2), 31. doi:10.69610/j.irbm.20220815

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