Cloud Based Data Analytics for Business Intelligence
This comprehensive review paper delves deeply into the realm of cloud-based data analytics platforms, underscoring their crucial role in propelling Business Intelligence (BI) forward during an era characterized by an unprecedented surge in data volumes. Faced with the deluge of data, organizations are increasingly relying on these platforms as indispensable tools to tap into the hidden potential of data and facilitate well-informed decision-making. The paper methodically traces the evolutionary path of cloud-based BI analytics platforms, shedding light on their diverse advantages and the substantial challenges they pose. It also elucidates the emerging trends in this dynamic landscape, outlining how these platforms are poised to reshape the future of BI. By conducting a thorough review of the existing body of literature, this paper imparts valuable insights into the defining attributes of these platforms, effective strategies for their adoption, and the critical factors that underpin their effectiveness. Additionally, it explores the pivotal role these platforms playing enhancing the flexibility, scalability, and cost-efficiency of BI processes. Moreover, in addition to furnishing an in-depth analysis, this review identifies significant gaps in current research and provides thoughtful recommendations for future avenues of exploration. These recommendations are intended to promote the continued growth and refinement of cloud-based data analytics platforms within the broader context of BI.
Authors
- Payal Thakur
- Rakesh Thakur
- Shanu Khare
- Navjot Singh Talwandi
- Anuj Shah (ORCID: https://orcid.org/0000-0001-5073-9362)
Institutions
- Chandigarh University (IN)
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/icaiccit64383.2024.10912298
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.53