Enabling Big Data and Data Analytics Impact in the Australian Public Sector

Olga Vasilyeva; Alex Richardson

Enabling Big Data and Data Analytics Impact in the Australian Public Sector

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Big data and data analytics (BDA) have the potential to reform delivery of public policies and services. They can drive innovation, transform government processes, and assist in designing more tailored policies. This paper reports findings of a systematic literature review to achieve a comprehensive understanding of practical applications of big data and data analytics in the Australian public sector. The study treats BDA as a complex phenomenon from social-technical and public administration perspectives and includes analysis of existing BDA implementations, strategies and lessons learned that can be embedded in areas of big data application in public policy delivery for creating socio-economic value. BDA has shown promising results in improving efficiencies and effectiveness of tasks of novel policy fields (e.g., COVID-19 management) and well-structured policy tasks (e.g., infrastructure planning and immigration risk assessment) through
predictive modelling, risk assessment, analysing ‘what is?’ scenarios and understanding current situations through real-time analytics.

Original language	English
Title of host publication	Proceedings of the Australasian Conference on Information Systems 2022
Publisher	Australasian Conference on Information Systems
Number of pages	17
Publication status	Published - 10 Dec 2024
Event	Australasian Conference on Information Systems: Digital Futures for a Sustainable Society - University of Canberra, Canberra, Australia Duration: 4 Dec 2024 → 6 Dec 2024 https://acis.aaisnet.org/acis2024/

Conference

Conference	Australasian Conference on Information Systems
Abbreviated title	ACIS
Country/Territory	Australia
City	Canberra
Period	4/12/24 → 6/12/24
Internet address	https://acis.aaisnet.org/acis2024/

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https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1120&context=acis2024Licence: CC BY-NC

Cite this

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title = "Enabling Big Data and Data Analytics Impact in the Australian Public Sector",

abstract = "Big data and data analytics (BDA) have the potential to reform delivery of public policies and services. They can drive innovation, transform government processes, and assist in designing more tailored policies. This paper reports findings of a systematic literature review to achieve a comprehensive understanding of practical applications of big data and data analytics in the Australian public sector. The study treats BDA as a complex phenomenon from social-technical and public administration perspectives and includes analysis of existing BDA implementations, strategies and lessons learned that can be embedded in areas of big data application in public policy delivery for creating socio-economic value. BDA has shown promising results in improving efficiencies and effectiveness of tasks of novel policy fields (e.g., COVID-19 management) and well-structured policy tasks (e.g., infrastructure planning and immigration risk assessment) throughpredictive modelling, risk assessment, analysing {\textquoteleft}what is?{\textquoteright} scenarios and understanding current situations through real-time analytics.",

author = "Olga Vasilyeva and Alex Richardson",

year = "2024",

month = dec,

day = "10",

language = "English",

booktitle = "Proceedings of the Australasian Conference on Information Systems 2022",

publisher = "Australasian Conference on Information Systems",

note = "Australasian Conference on Information Systems : Digital Futures for a Sustainable Society , ACIS ; Conference date: 04-12-2024 Through 06-12-2024",

url = "https://acis.aaisnet.org/acis2024/",

}

Vasilyeva, O & Richardson, A 2024, Enabling Big Data and Data Analytics Impact in the Australian Public Sector. in Proceedings of the Australasian Conference on Information Systems 2022. Australasian Conference on Information Systems, Australasian Conference on Information Systems, Canberra, Australian Capital Territory, Australia, 4/12/24. <https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1120&context=acis2024>

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N2 - Big data and data analytics (BDA) have the potential to reform delivery of public policies and services. They can drive innovation, transform government processes, and assist in designing more tailored policies. This paper reports findings of a systematic literature review to achieve a comprehensive understanding of practical applications of big data and data analytics in the Australian public sector. The study treats BDA as a complex phenomenon from social-technical and public administration perspectives and includes analysis of existing BDA implementations, strategies and lessons learned that can be embedded in areas of big data application in public policy delivery for creating socio-economic value. BDA has shown promising results in improving efficiencies and effectiveness of tasks of novel policy fields (e.g., COVID-19 management) and well-structured policy tasks (e.g., infrastructure planning and immigration risk assessment) throughpredictive modelling, risk assessment, analysing ‘what is?’ scenarios and understanding current situations through real-time analytics.

AB - Big data and data analytics (BDA) have the potential to reform delivery of public policies and services. They can drive innovation, transform government processes, and assist in designing more tailored policies. This paper reports findings of a systematic literature review to achieve a comprehensive understanding of practical applications of big data and data analytics in the Australian public sector. The study treats BDA as a complex phenomenon from social-technical and public administration perspectives and includes analysis of existing BDA implementations, strategies and lessons learned that can be embedded in areas of big data application in public policy delivery for creating socio-economic value. BDA has shown promising results in improving efficiencies and effectiveness of tasks of novel policy fields (e.g., COVID-19 management) and well-structured policy tasks (e.g., infrastructure planning and immigration risk assessment) throughpredictive modelling, risk assessment, analysing ‘what is?’ scenarios and understanding current situations through real-time analytics.

M3 - Conference contribution

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PB - Australasian Conference on Information Systems

T2 - Australasian Conference on Information Systems

Y2 - 4 December 2024 through 6 December 2024

ER -

Enabling Big Data and Data Analytics Impact in the Australian Public Sector

Abstract

Conference

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