Design and Development of a Subscription-Based BI Platform for Small Enterprises
Abstract
Small enterprises often struggle to adopt Business Intelligence (BI) tools due to high upfront costs, complex interfaces, and lack of technical expertise. To address this digital divide, this study presents the design and development of a subscription-based BI platform tailored specifically for small enterprises. The platform aims to democratize access to data analytics by offering a low-cost, user-friendly, and scalable solution that enables small businesses to make informed, data-driven decisions without needing extensive IT infrastructure or in-house analysts. The platform’s architecture integrates cloud-based storage, modular dashboards, and intuitive data visualization tools that can be customized based on industry needs and business scale. The subscription model eliminates large capital expenditure and offers flexibility through tiered pricing, allowing enterprises to select features based on their operational maturity and data usage requirements. Security and privacy were embedded into the design using role-based access controls and compliance with data protection regulations, ensuring that small enterprises maintain control over their data. This study adopts an agile development methodology, incorporating feedback from potential users across sectors such as retail, services, and manufacturing. User experience (UX) testing and iterative prototyping ensured the interface was both intuitive and functional for users with minimal technical backgrounds. Pilot deployments demonstrated improved efficiency in business processes such as sales tracking, inventory management, and customer segmentation. The paper further proposes a deployment roadmap, including onboarding support, training modules, and integration capabilities with existing small enterprise software systems. Findings underscore the potential of subscription-based BI models to bridge the analytics gap in underserved segments and promote economic resilience by transforming how small businesses interact with their data. By reducing financial and technical barriers, this platform not only supports digital inclusion but also aligns with broader national goals of fostering entrepreneurship, innovation, and sustainable economic development.
How to Cite This Article
Azubike Collins Mgbame, Oyinomomo-emi Emmanuel Akpe, Abraham Ayodeji Abayomi, Ejielo Ogbuefi, Oluwatobi Opeyemi Adeyelu (2023). Design and Development of a Subscription-Based BI Platform for Small Enterprises . International Journal of Social Science Exceptional Research (IJSSER), 2(2), 31-47. DOI: https://doi.org/10.54660/IJSSER.2023.2.2.31-47