The Role of Big Data in Transforming Communities and Shaping the Future
Amelia Ritahani Ismail () and
Zuraini Zainol ()
Additional contact information
Amelia Ritahani Ismail: Kulliyyah of Information and Communication Technology, International Islamic University Malaysia
Zuraini Zainol: Universiti Pertahanan Nasional Malaysia
A chapter in Technology for Societal Transformation, 2025, pp 195-204 from Springer
Abstract:
Abstract Big Data plays a central role in the progress and development of society, reshaping the ways in which societies function and determine the future across a variety of industries. Its value from the economic standpoint is evident from its capacity to improve decision-making, enhance economic growth, and raise living standards. Big Data encompasses numerous opportunities and challenges, centered on such points as optimizing project management, fostering socioeconomic development, and data privacy management. It allows better planning because it enables a much more understandable and quicker decision-making experience from which the response time can be reduced and risk management, operational resolutions straightforward. It takes less time for changes to be made and eliminates enterprise-related risks, thereby advancing risk management. The greatest contribution from an economic angle is made to social and economic development, encouraging sustainable development and shedding light on the new perspectives emerging indicators can offer. Nevertheless, successfully realizing the full transformative potential of Big Data implies overcoming certain obstacles and solving numerous ethical issues related to the extensive use of data. To overcome these challenges is critical to ensure that Big Data does make a difference in society and helps to improve the lives of people everywhere.
Keywords: Big data; Societal development; Challenges; Privacy (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-96-1721-0_12
Ordering information: This item can be ordered from
http://www.springer.com/9789819617210
DOI: 10.1007/978-981-96-1721-0_12
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().