Government contributes to a large proportion of data to the big data era. This data is related to every aspect of citizens, including but being not limited to work, life, study, entertaining, traveling, immigration, security, social welfare, environment and climate, socio-economic and cultural activities, and health and medical records. Government also plays a driving role in making policies, governance, strategies, plans, systems and reviews for data-based systems, services, infrastructure, resources, programs, economy, social and cultural services. Government collects tax and commits budget to serve and enable citizen and society development. All of these involve data and data-rich systems, infrastructures, businesses, services, and applications.
Government data analytics naturally forms a significant component in the analytics family and the era of big data and data science. From the relevant data source and governmental department perspectives, government data analytics involve the understanding, analysis, management, and decision action-taking in many areas, including environment, climate, energy, transport, finance (including procurement, revenue, and budgeting), taxation, social welfare, national security and cybersecurity, agriculture, manufacturing, education, healthcare, and innovation and science.
Some of government data analytics examples:
Advanced analytics and behavior analytics enabled differentiated, tailored engagement that has secured $1.4 billion on, or near on-time payments, from these habitual late payers for the ATO, as shown in the Commissioner’s speech Better Services and a better experience for Australians, 31 March 2016.
Analytic modelling addressed non-lodgments as mentioned in the ATO’s Commissioner of Taxation Annual Report 2014-15.
Ppredictive modelling, data analytics intelligence and the use of behavioural insights were enabling debt management in the ATO’s Commissioner of Taxation Annual Report 2014-15.
Advanced analytics provides contemporary tools and services for taxpayers to pay on time or manage any debt that arises as mentioned in the ATO’s Commissioner of Taxation Annual Report 2014-15.
Advanced analytics supports tax analytics as mentioned in the OECD paper on Working Smarter in Tax Debt Management in 2014.
Advanced analytics enables to develope targeted debt-collection strategies for debt management mentioned in the ATO’s Commissioner of Taxation Annual Report 2012-2013.