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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Integrating advanced information analysis techniques to enhance operational efficiency in business administration practices

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  • Integrating advanced information analysis techniques to enhance operational efficiency in business administration practices

Ekaette Tim 1, *, Ayodeji Babalola 2, Abla Akpene Kossidze 3 and Sai Vidhya Goriparthi 4

1 Masters of Business Administration, American University, Kogod School of Business, Washington D.C, USA.

2 Department of Management Information Systems, University of Illinois Springfield, USA.

3 Business School, Stanford University, California, USA.

4 Wright Brothers Contracting Services, USA.

Research Article

World Journal of Advanced Research and Reviews, 2025, 25(01), 1275-1293

Article DOI: 10.30574/wjarr.2025.25.1.0157

DOI url: https://doi.org/10.30574/wjarr.2025.25.1.0157

Received on 30 November 2024; revised on 12 January 2025; accepted on 14 January 2025

Advanced techniques of information analysis, with their implementation, have become the basis of the economic efficiency of modern business management. In the face of ever-compounding complexity in markets and even more growing competition, applying data-driven tools and methodologies can have transformative power to simplify processes, optimize resource utilization, and improve decision-maker effectiveness. This article discusses how operational excellence across a number of business administration practices is driven by advanced information analysis. It elaborates on defeat analytical methods, like predictive modeling, data visualization, and machine learning algorithms, and illustrates their usage in process optimization and inefficiency identification. Data on resource performance is made available for actionable insights, empowering real-time fine-tuning of resource allocation and, in future iterations, automating provisioning adjustments based on usage trends. They also enable organizations to react to the changing market landscape swiftly, without incurring unnecessary costs or redundancies. Although case studies differ from industry to industry, such as retail, manufacturing, or financial services, the practical outcomes of how information analysis helps in improving operational efficiency can also be seen across the board. From supply chain optimization to customer relationship management, evidence of how advanced analytics helps reduce bottlenecks, forecast trends, and align operations with strategic objectives continues to grow. Furthermore, ethical implications, including data privacy and algorithmic bias, are considered to secure the responsible implementation of these technologies. The discoveries highlight the significance of establishing a data-driven culture in organizations. By enabling teams with the know-how and capabilities for higher-level analytics, organizations can make sustainable efficiency improvements and gain an advantage in the broad environment, which is changing quickly. This article delivers practical steps managers can take to utilize advanced information analysis systems in their businesses. 

Information analysis; Business administration; Operational efficiency; Predictive modelling; Data visualization; Machine learning

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0157.pdf

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Ekaette Tim, Ayodeji Babalola, Abla Akpene Kossidze and Sai Vidhya Goriparthi. Integrating advanced information analysis techniques to enhance operational efficiency in business administration practices. World Journal of Advanced Research and Reviews, 2025, 25(1), 1275-1293. Article DOI: https://doi.org/10.30574/wjarr.2025.25.1.0157

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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