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Open Access Journal Article

Real-Time Data Analytics in Operational Decision Making

by Michael Taylor 1,*
1
Michael Taylor
*
Author to whom correspondence should be addressed.
MAD  2022 4(2):36; https://doi.org/10.69610/j.mad.20221230
Received: 19 October 2022 / Accepted: 26 November 2021 / Published Online: 30 December 2022
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Abstract

The rapid advancement in technology has led to an exponential growth in the generation and availability of real-time data across various industries. This paper explores the significance of real-time data analytics in facilitating operational decision-making processes. Real-time data analytics refers to the practice of analyzing data as it is produced, enabling organizations to gain insights and make informed decisions promptly. By leveraging real-time data analytics, enterprises can identify trends, patterns, and anomalies that may not be evident in historical data, leading to more efficient and effective operational decisions. This paper discusses the benefits of real-time data analytics, including improved operational performance, enhanced customer satisfaction, and increased competitive advantage. Additionally, it highlights the challenges associated with implementing real-time data analytics, such as data quality, integration, and scalability. The paper concludes with a discussion on future directions for research in this domain, emphasizing the need to address the existing limitations and explore innovative approaches to harness the full potential of real-time data analytics in operational decision making.

Keywords: Real-Time Data Analytics; Operational Decision Making; Industry Applications; Data Quality; Competitive Advantage.;
Copyright: © 2022 by Taylor. 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
Taylor, M. (2022). Real-Time Data Analytics in Operational Decision Making. Management Analytics and Decision, 4(2), 36. doi:10.69610/j.mad.20221230
ACS Style
Taylor, M. Real-Time Data Analytics in Operational Decision Making. Management Analytics and Decision, 2022, 4, 36. doi:10.69610/j.mad.20221230
AMA Style
Taylor M. Real-Time Data Analytics in Operational Decision Making. Management Analytics and Decision; 2022, 4(2):36. doi:10.69610/j.mad.20221230
Chicago/Turabian Style
Taylor, Michael 2022. "Real-Time Data Analytics in Operational Decision Making" Management Analytics and Decision 4, no.2:36. doi:10.69610/j.mad.20221230

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ACS Style
Taylor, M. Real-Time Data Analytics in Operational Decision Making. Management Analytics and Decision, 2022, 4, 36. doi:10.69610/j.mad.20221230
AMA Style
Taylor M. Real-Time Data Analytics in Operational Decision Making. Management Analytics and Decision; 2022, 4(2):36. doi:10.69610/j.mad.20221230
Chicago/Turabian Style
Taylor, Michael 2022. "Real-Time Data Analytics in Operational Decision Making" Management Analytics and Decision 4, no.2:36. doi:10.69610/j.mad.20221230
APA style
Taylor, M. (2022). Real-Time Data Analytics in Operational Decision Making. Management Analytics and Decision, 4(2), 36. doi:10.69610/j.mad.20221230

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