Overview
Big data as a service (BDaaS) is a service that provides organizations with access to large datasets for storage and analysis. It enables companies to store, process, and analyze large amounts of data from multiple sources, distributed across multiple systems. This enables companies to extract insights from vast amounts of data for better decision making, to develop new products and services, and to understand customer behavior. By leveraging cloud computing, BDaaS makes big data processing and analysis more cost-effective than ever before. In addition, it simplifies the management of big data, allowing organizations to focus on developing their core business.
Research published in this journal
3 peer-reviewed articles, ranked by relevance. Each links to its DOI.
5S Dashboard Design Principles for Self-Service Business Intelligence Tool Users
Legal, Marketing, and Advertising Issues with Big Data
How this research is being cited
The 3 articles above have been cited 23 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Nov 2026.
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2026 · Journal of Water Resources Planning and Management
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2026 · Springer eBooks
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2026 · Journal of Water Resources Planning and Management
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The Evolution of Dashboard Design: Best Practices for Data Visualization in Decision Support Systems2025 · International Journal of Engineering and Computational Applications
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2025 ·
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2024 · Özgür Yayınları eBooks
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Mustafa Pamuk et al. · 2024 · Machine Learning and Knowledge Extraction
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Sara Hjelle et al. · 2024 · Information Manager (The)
A sample of recent works citing this journal's research on Big Data As a Service, linking to each citing work.