Seven V's of Big Data understanding Big Data to extract value
Abstract
Big Data has shown lot of potential in real world industry and research community. We support the power and potential of it in solving real world problems. However, it is imperative to understand Big Data through the lens of 7 V's. 7thV as ‘Value’ is desired output for industry challenges and issues. We provide a brief survey study of 7 Vs of Big Data in order to understand Big Data and extract Value concept in general. Finally we conclude by showing our vision of improved healthcare, a product of Big Data Utilization, as a future work for researchers and students, while moving forward.
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Big data tend to be characterised by a number of other Vs than volume, variety, and velocity, including inveracity, validity, value, and volatility.
“Yet, big data tend to be characterised by a number of other Vs than these three, including inveracity, validity, value, and volatility (e.g., [72]).”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [72]
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- Authors
- Khan, M. A.-U.-D., Uddin, M. F., & Gupta, N.
- Venue
- Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education
- Publisher
- IEEE
- Published
- 2014-04
- Pages
- 1-5
- OpenAlex
- W2172250756
- Cited by
- 290
- References
- 3
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 20 · 2023: 24 · 2022: 32 · 2021: 47 · 2020: 41 · 2019: 29 · 2018: 29 · 2017: 27 · 2016: 22 · 2015: 4
- FWCI
- 32.07
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- big data, data value extraction, big data utilization, health service improvement
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