Optimization of University ICT Resource Allocation Using Big Data in Modibbo Adama University, Yola, Adamawa State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Efficient allocation of ICT resources is crucial for ensuring that universities remain competitive and provide high-quality educational services. At Modibbo Adama University, Yola, Adamawa State, the traditional methods of resource allocation are increasingly being challenged by the rapid expansion of digital infrastructure and the growing demand for technology-enabled learning environments. Big data analytics offers a transformative approach to optimizing ICT resource allocation by analyzing extensive datasets that include usage patterns, network performance metrics, student and faculty feedback, and historical expenditure data (Olu, 2023). These analytics enable decision-makers to identify underutilized resources, forecast future demands, and reallocate funds to areas that require improvement. Moreover, predictive models can assist in anticipating maintenance needs and potential system failures, thereby minimizing downtime and enhancing operational efficiency (Adebayo, 2024). The use of big data also promotes transparency and accountability in resource management, as decisions are based on quantifiable data rather than subjective assessments. However, the implementation of big data strategies in ICT resource allocation faces challenges such as data integration from disparate sources, ensuring data accuracy, and addressing concerns related to data security and privacy (Balogun, 2025). This study aims to evaluate the effectiveness of big data analytics in optimizing ICT resource allocation at Modibbo Adama University by comparing current practices with data-driven strategies, ultimately providing recommendations to enhance the efficiency and effectiveness of ICT management (Olu, 2023; Adebayo, 2024; Balogun, 2025).
Statement of the Problem
Modibbo Adama University currently relies on traditional, manual methods for ICT resource allocation, which often result in inefficient utilization and delayed responses to infrastructure needs. The lack of an integrated data-driven approach means that decisions regarding resource distribution are based on incomplete and outdated information, leading to suboptimal performance and wastage of funds (Olu, 2023). Although big data analytics promises to provide comprehensive insights into resource usage and demand, its implementation is impeded by challenges such as data fragmentation, inconsistent data quality, and security concerns (Adebayo, 2024). Additionally, the absence of predictive analytics in the current system limits the university’s ability to anticipate future requirements and proactively address potential issues. These deficiencies contribute to frequent system downtimes and reduced user satisfaction among students and staff. Without a robust framework for data-driven ICT management, the university risks falling behind in technological advancements and failing to meet the evolving needs of its academic community. This study aims to bridge the gap by developing a big data-based model for ICT resource allocation, comparing it with existing practices, and proposing strategic improvements to enhance overall efficiency and accountability (Balogun, 2025).
Objectives of the Study:
• To develop a big data-driven model for ICT resource allocation.
• To compare the performance of data-driven strategies with traditional allocation methods.
• To recommend strategies to improve data integration and resource management.
Research Questions:
• How does big data analytics improve ICT resource allocation?
• What are the limitations of traditional resource allocation methods?
• How can data integration and security be enhanced in a big data framework?
Significance of the Study
This study is significant as it explores the application of big data analytics to optimize ICT resource allocation at Modibbo Adama University, aiming to enhance operational efficiency and support academic excellence. The insights will assist administrators in making informed, data-driven decisions, thereby improving technology utilization and reducing costs (Olu, 2023).
Scope and Limitations of the Study:
This study is limited to the evaluation of ICT resource allocation at Modibbo Adama University, Yola, Adamawa State.
Definitions of Terms:
• Big Data Analytics: The process of examining large datasets to derive actionable insights (Adebayo, 2024).
• ICT Resource Allocation: The distribution and management of information and communication technology resources (Olu, 2023).
• Predictive Analytics: Techniques used to forecast future trends based on historical data (Balogun, 2025).
Related Project Materials
AN ASSESSMENT OF THE EFFECT OF COST ACCOUNTING FOR SUPPLY CHAIN OPTIMIZATION
Abstract: AN ASSESSMENT OF THE EFFECT OF COST ACCOUNTING FOR SUPPLY CHAIN OPTIMIZATION
This study assesses the effect of cost accounting...
EVALUATION OF GLYCERINE RECOVERY FROM SPENT SOAP LYE PRODUCTION
BACKGROUND OF THE STUDY
Glycerine (propan 1, 2, 3 triol) is a discovered soluble in soap lye and as a residue in c...
An Evaluation of IT Risk Management Strategies in Corporate Organizations: A Study of Oil and Gas Firms in Sokoto State
Background of the Study
The oil and gas sector is a cornerstone of Nigeria's economy, contributing significantly to...
The Role of Public Relations in Enhancing Cooperative Society Activities: A Study of Fika LGA, Yobe State
Chapter One: Introduction
THE IMPACT OF COMPUTERIZATION IN THE GROWTH OF NIGERIAN ECONOMY (A CASE STUDY OF SOLIVE OIL MANUFACTURING COMPANY NIGERIA LIMITED)
ABSTRACT
In Nigeria, provision of public infrastructure is grossly inadequate and poor. Necessary telecommunication serv...
An assessment of the role of cultural festivals in promoting indigenous education in primary schools in Jema’a LGA, Kaduna State
Background of the study
Cultural festivals have long been recognized as vehicles for promoting indigenous knowledge and va...
THE INFLUENCE OF CAPITAL STRUCTURE ON FIRM VALUE
Abstract: THE INFLUENCE OF CAPITAL STRUCTURE ON FIRM VALUE
This study examines the influence of capital structure on the value of firms....
THE IMPACT OF STRATEGIC CHANGE MANAGEMENT ON ORGANIZATIONAL PERFORMANCE
Abstract:
The objectives of this study are to (1) assess the impact of strategic change management on orga...
The impact of land conflicts on agricultural productivity in Uhunmwonde Local Government Area, Edo State
Background of the study
Land conflicts have emerged as a critical issue affecting agricultural productivity in many rural a...
An Evaluation of Digital Communication on Nigerian Semantic Networks: A Case Study of Facebook and Twitter
Background of the study
Semantic networks, which represent the relationships between concepts and meanings, are increasingly shaped by di...
