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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63853
Volume:
10 |
5 |
May 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERONG AND TECHNOLOGY DAVANAGERE
Governments create a large amount of data every day. This data comes from many places. It includes public records, online services, and feedback from citizens. When this data is used in the right way, it can help governments work better. This project studies how big data supports smart governance and helps in making good policies. Big data helps collect, store, and study large sets of information. It allows leaders to see patterns and understand public needs clearly. Decisions based on data are more accurate and fairer. Big data also helps governments check how well their programs are working. It supports planning, monitoring, and improving public services. Using big data makes government systems faster and more transparent. It reduces delays and errors in decision making. It also helps improve services in areas like health, transport, education, and safety. Citizens benefit when policies are based on real information instead of guesses. This project explains the role of big data in modern governance. It also discusses the benefits and challenges of using data in government work. Issues such as data safety and privacy are also considered. Overall, the study shows that big data plays an important role in building smart, efficient, and people-focused governance systems.
KEYWORDS
With the increasing generation of data there has been a challenge for traditional governance approaches. Even though the government generates data each day the traditional approaches do not make efficient use of the data. Decisions may be taken on less information or even on old information; therefore the quality is compromised. The above-mentioned initiative highlights the potential role of big data in making better decisions in the government. By collating different pieces of information and analysing that in an organised manner the government will be in a better position to understand the requirements of the people. Organised information from data helps to identify the trends that cannot be otherwise traced. The feasibility study conducted in this project has demonstrated the practicality of using big data in governance. The technology and infrastructure needed in the system have already been established. Experts with the ability to handle the system can be readily hired. Though presently the system has high startup capital the returns in the long run make it economically feasible. The system is also practically operable from the standpoint of its usability once the employees undergo adequate training. The project further emphasizes the matters of transparency and accountability. It is easier to explain and justify decisions if they are evidence-based. It is important for citizens to benefit through better services and understanding governance processes. Inevitably trust can be created between the government and its citizens.
1. Viktor Mayer-Schönberger and Kenneth Cukier Big Data: Transform How We Live Work and Think Eamon Dolan/Houghton Mifflin Harcourt 2013. 2. Rajiv Ranjan “Streaming Big Data Processing in Data centres” IEEE Cloud Computing vol. 1 no. 1 pp. 78–83 2014. 3. OECD Data-Driven Public Sector: Enabling the Strategic Use of Data for Productive Inclusive and Trustworthy Governance OECD Publishing 2019.. 4. United Nations E-Government Survey: Digital Government in the Decade of Action United Nations Department of Economic and Social Affairs 2020 . 5. K. Kambatla G. Kollias V. Kumar and A. Grama “Trends in Big Data Analytics” Journal of Parallel and Distributed Computing vol. 74 no. 7 pp. 2561–2573 2014. 6. IBM Corporation Big Data & Analytics for Government IBM White Paper 2018. 7. McKinsey Global Institute The Age of Analytics: Competing in a Data-Driven World McKinsey & Company 2016. 8. World Bank Big Data in Action for Development World Bank Group 2017.
Publication Date
5/23/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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