A Cloud-Based Data Warehousing Framework for Real-Time Business Intelligence and Decision-Making Optimization

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@article{1702898,
      author = {Emmanuel Damilare Balogun, Kolade Olusola Ogunsola, Adebanji Samuel Ogunmokun},
      title = {A Cloud-Based Data Warehousing Framework for Real-Time Business Intelligence and Decision-Making Optimization},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {5},
      number = {2},
      pages = {165-174},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702898.pdf},
      abstract = {This paper explores the transformative potential of cloud-based data warehousing frameworks in enhancing real-time business intelligence (BI) and optimizing decision-making processes within modern organizations. As businesses increasingly rely on data to drive operational efficiency and competitive advantage, traditional on-premises data warehousing systems have proven inadequate in addressing the demand for real-time analytics. Cloud-based data warehousing provides scalable, flexible, and cost-effective solutions that enable businesses to integrate vast amounts of data, access it in real time, and leverage advanced analytics tools for informed decision-making. This study reviews the theoretical models supporting cloud computing and data warehousing, analyzes applications across various industries, and discusses the challenges and solutions related to the implementation of cloud-based systems. Key findings highlight the significant benefits of real-time access to integrated data, including faster decision-making, improved accuracy, and enhanced competitive advantage. The paper concludes with practical recommendations for businesses considering the adoption of cloud-based data warehousing solutions and outlines future research directions, particularly in the areas of AI integration, data governance, and adoption in industries with slower BI uptake.},
      keywords = {Cloud-Based Data Warehousing, Real-Time Business Intelligence, Decision-Making Optimization, Data Integration, Competitive Advantage, Cloud Computing},
      month = {August},
  }