Governing Big Data: Principles and practices
Abstract
As data-intensive decision making is being increasingly adopted by businesses, governments, and other agencies around the world, most organizations encountering a very large amount and variety of data are still contemplating and assessing their readiness to embrace “Big Data.” While these organizations devise various ways to deal with the challenges such data brings, the impact and importance of Big Data to information quality and governance programs should not be underestimated. Drawing upon implementation experiences of early adopters of Big Data technologies across multiple industries, this paper explores the issues and challenges involved in the management of Big Data, highlighting the principles and best practices for effective Big Data governance.
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Digital data are projected to grow from 2.7 Zettabytes to 35 Zettabytes by the year 2020.
“Generally, the digital data are projected to grow from 2.7 Zettabytes to 35 Zettabytes by the year 2020 [90,146].”
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 [90]
The deluge of urban data is unfolding and soaring, amounting to hundreds of exabytes every year, and will continue to do so.
“The deluge of urban data is, and will continue to be, unfolding and soaring, amounting to hundreds of exabytes every year, if not more than that, and covering so many aspects of urbanity in its complexity, breath, depth, and heterogeneity”
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 [90]
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- Authors
- Malik, P.
- Affiliations
- IBM (United States) (US)
- Corresponding author
- Malik, P.
- Venue
- IBM Journal of Research and Development
- Publisher
- IBM
- Published
- 2013-05
- Volume
- 57
- Issue
- 3/4
- Pages
- 1:1-1:13
- ISSN
- 0018-8646 (ISSN-L)
- OpenAlex
- W2092420848
- Cited by
- 109
- References
- 9
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 6 · 2023: 10 · 2022: 7 · 2021: 4 · 2020: 5 · 2019: 15 · 2018: 14 · 2017: 8 · 2016: 13 · 2015: 9 · 2014: 9 · 2013: 2
- FWCI
- 24.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IBM Journal of Research and Development (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Data Quality and Management
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- big data governance, big data management, data governance, data quality, big data adoption, best practices, organizational readiness
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