IIARD International Institute of Academic Research and Development

INTERNATIONAL JOURNAL OF SOCIAL SCIENCES AND MANAGEMENT RESEARCH (IJSSMR )

E-ISSN 2545-5303
P-ISSN 2695-2203
VOL. 11 NO. 4 2025
DOI: 10.56201/ijssmr.vol.11no4.2025.pg570.593

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Self-Service Data Platforms as Drivers of Cost Reduction and Decision-Making Efficiency in Data-Intensive Organizations

Enoch Oluwabusayo Alonge, Nsisong Louis EyoUdo, Bright Chibunna Ubanadu, Andrew Ifesinachi Daraojimba, Emmanuel Damilare Balogun, Kolade Olusola, Ogunsola

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Abstract

In data-intensive organizations, the growing reliance on complex data systems and the increasing need for efficient decision-making have underscored the importance of self-service data platforms. These platforms empower non-technical users to access, analyze, and visualize data independently, which can lead to significant reductions in support and infrastructure costs. This paper proposes a new model for self-service platforms, designed to enhance cost- efficiency while improving decision-making across the organization. The model integrates advanced data management practices, automation, and user-centric design, inspired by successful implementations across industries. The proposed model addresses the challenges of traditional data platforms, which often require extensive IT support, dedicated infrastructure, and specialized expertise. By empowering business users with intuitive tools and pre- configured templates, the model minimizes the need for continuous technical support and reduces the complexity associated with data extraction and manipulation. Furthermore, it supports real-time data access and analytics, facilitating faster and more informed decision- making at various organizational levels. The model includes several key components: data democratization, which ensures that data is accessible across departments; automated data workflows, streamlining data extraction, transformation, and loading (ETL); and scalable cloud infrastructure, enabling organizations to reduce on-premise costs while maintaining high performance. Additionally, it incorporates advanced features such as machine learning-based insights and predictive analytics, further enhancing decision-making capabilities. Case studies from sectors such as finance, retail, and healthcare illustrate the tangible benefits of self- service data platforms, demonstrating improved operational efficiency, quicker decision cycles, and reduced reliance on IT teams. The rese

keywords:

Self-Service Data Platforms, Cost Reduction, Decision-Making Efficiency, DataIntensive Organizations, Data Democratization, Automation, Cloud Infrastructure, Machine Learning, Predictive Analytics.

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