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Review Article Open Access December 29, 2020

Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms

Vamsee Pamisetty 1,*
1
Middleware Architect, USA
Publihed in: Current Research in Public Health (Volume 1, Issue 1, 2021)
Page(s): 1-24
DOI: 10.31586/jaibd.2020.1339
Received
October 07, 2020
Revised
November 25, 2020
Accepted
December 20, 2020
Published
December 29, 2020
Keywords
Fiscal Impact Analysis; Big Data; Cloud-Based Analytics; Government Finance; Data Integration; Predictive Modeling; Public Sector Analytics; Decision Support Systems; Real-Time Data; Financial Forecasting; Digital Transformation; Budget Planning; Cloud Computing; Data-Driven Policy; Integrated Platforms
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2021. Published by Scientific Publications
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Cite This Article

APA Style
Pamisetty, V. (2021). Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms. Current Research in Public Health, 1(1), 1-24. https://doi.org/10.31586/jaibd.2020.1339
ACS Style
Pamisetty, V. Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms. Current Research in Public Health 2021 1(1), 1-24. https://doi.org/10.31586/jaibd.2020.1339
Chicago/Turabian Style
Pamisetty, Vamsee. 2021. "Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms". Current Research in Public Health 1, no. 1: 1-24. https://doi.org/10.31586/jaibd.2020.1339
AMA Style
Pamisetty V. Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms. Current Research in Public Health. 2021; 1(1):1-24. https://doi.org/10.31586/jaibd.2020.1339 
@Article{crph1339,
AUTHOR = {Pamisetty, Vamsee},
TITLE = {Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2021},
NUMBER = {1},
PAGES = {1-24},
URL = {https://www.scipublications.com/journal/index.php/JAIBD/article/view/1339},
ISSN = {2831-5162},
DOI = {10.31586/jaibd.2020.1339},
ABSTRACT = {While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. To this end, in this paper authors present an overall architecture of a cloud-based environment that facilitates data retrieval and analytics, as well as policy modelling, creation and optimization. The environment enables data collection from heterogeneous sources, linking and aggregation, complemented with data cleaning and interoperability techniques. An innovative approach for analytics as a service is introduced and linked with a policy development toolkit, which is an integrated web-based environment to fulfil the requirements of the public policy ecosystem stakeholders [1]. Large information databases on various public issues exist, but their usage for public policy formulation and impact analysis has been limited so far, as no cloud-based service ecosystem exists to facilitate their efficient exploitation. With the increasing availability and importance of both public big and traditional data, the need to extract, link and utilize such information efficiently has arisen. Current data-driven web technologies and models are not aligned with the needs of this domain, and therefore, potential candidates for big data, cloud-based and service-oriented public policy analysis solutions should be investigated, piloted and demonstrated [2]. This paper presents the conceptual architecture of such an ecosystem based on the capabilities of state-of-the-art cloud and web technologies, as well as the requirements of its users.},
}
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AB  - While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. To this end, in this paper authors present an overall architecture of a cloud-based environment that facilitates data retrieval and analytics, as well as policy modelling, creation and optimization. The environment enables data collection from heterogeneous sources, linking and aggregation, complemented with data cleaning and interoperability techniques. An innovative approach for analytics as a service is introduced and linked with a policy development toolkit, which is an integrated web-based environment to fulfil the requirements of the public policy ecosystem stakeholders [1]. Large information databases on various public issues exist, but their usage for public policy formulation and impact analysis has been limited so far, as no cloud-based service ecosystem exists to facilitate their efficient exploitation. With the increasing availability and importance of both public big and traditional data, the need to extract, link and utilize such information efficiently has arisen. Current data-driven web technologies and models are not aligned with the needs of this domain, and therefore, potential candidates for big data, cloud-based and service-oriented public policy analysis solutions should be investigated, piloted and demonstrated [2]. This paper presents the conceptual architecture of such an ecosystem based on the capabilities of state-of-the-art cloud and web technologies, as well as the requirements of its users.
DO  - Enhancing Government Fiscal Impact Analysis with Integrated Big Data and Cloud-Based Analytics Platforms
TI  - 10.31586/jaibd.2020.1339
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