Government

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The rise of data in Government

Government departments and agencies are leading the charge when it comes to using Big Data and Analytics. They know they need to use it, and often have a very good idea about what they want to achieve from the wealth of data and information they hold. The AutoStat® data science team work closely with our Government clients to analyse data and provide an evidence base for the unique decisions they are required to make.

The Solution

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Deployed across the Health, Emergency Services, Utilities and other government sectors, AutoStat® provides easy access to advanced analytics tools and techniques, visualisations, project sharing and reporting modules. AI, ML and advanced statistical and optimisation techniques are paving the way unlocking new insights and opportunities for government. Governments are deploying these techniques in an effort to understand the quantum of funding required to efficiently resource their portfolios as well as the equitable distribution of the funding across their networks and constituents.

Governments are now able to interrogate their data with the same methods previously reserved for academics and researchers. Information about inter‐relationships, trends, events and patterns is embedded within big data. Predictive analytics involves extracting information from data and using it to predict future trends, unknown events and behavioural patterns.

AutoStat® in Government

The NSW Ministry of Health has deployed AutoStat® to enable local health planners to undertake rigorous clinical services planning in order to allocate billions of dollars of capital health expenditure every year. AutoStat® mathematically interrogates the Ministry's underlying data and applies a set of algorithms to support health activity planning and analysis.

AutoStat® allows planners to model the impact of new hospitals and wards, and changes in healthcare demand; analyse the relationship between different healthcare streams; model future demand for various health services by changing key variables and undergoing scenario analysis; and upload new datasets automatically and in real-time.

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