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Data-Driven Management Information Systems: Integrating AI, Predictive Analytics, and Organisational Performance Optimisation

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  • Md Mofasel Hossain

Abstract

The integration of Artificial Intelligence (AI) and predictive analytics into Management Information Systems (MIS) has redefined organisational decision-making and performance optimisation. Data-driven MIS have evolved from traditional reporting tools into proactive, insight-oriented systems capable of analysing vast volumes of structured and unstructured data in real time. This transformation has enabled organisations to forecast demand, optimise operations, personalise customer experiences, and make strategic decisions with greater accuracy. Core components such as data lifecycle management, system integration, data quality assurance, governance, security, and advanced analytics are critical for ensuring reliability, compliance, and operational efficiency. The benefits of AI-enhanced MIS include improved decision-making, streamlined operations, cost reduction, enhanced customer satisfaction, and empowered employee engagement. However, challenges such as data quality issues, fragmented systems, security concerns, and cultural resistance can impede effective adoption. Case studies from Netflix, Amazon, healthcare, and transportation illustrate the practical impact of AI-driven MIS, highlighting how real-time analytics and predictive models enhance performance, responsiveness, and innovation. Emerging trends indicate that advances in real-time data processing, reinforcement learning, ethical AI, and hybrid decision frameworks will further strengthen MIS capabilities. Aligning technology, governance, and organisational culture is essential to fully leveraging these systems. Overall, AI-integrated data-driven MIS are positioned to enable organisations to navigate complex environments, achieve sustainable competitive advantage, and maintain operational resilience in an increasingly data-centric world. The findings underscore the need for continued investment in technological infrastructure, ethical governance, and data literacy to maximise the potential of these transformative systems.

Suggested Citation

  • Md Mofasel Hossain, 2025. "Data-Driven Management Information Systems: Integrating AI, Predictive Analytics, and Organisational Performance Optimisation," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 8(02), pages 404-424.
    • Handle: RePEc:das:njaigs:v:8:y:2025:i:02:p:404-424:id:452
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