Our analytics team supports the social system’s ability to use data analytics and insights for social sector decision making. Ultimately, we want to empower social service providers and government agencies to understand, decide on and do more of what really works, for better lives.
Analytics provides one type of evidence to support better decision making. Analytics is the use of computer skills and statistics to draw conclusions from data. We seek to blend analytics with complementary information including qualitative data, science and people’s lived experience.
Social sector analytics can help social service providers and government agencies improve:
We've produced analytical tools and reusable code for technical users who have access to Stats NZ's Integrated Data Infrastructure (IDI).
Code, assembly and visualisation tools and user guidance is publicly available on GitHub — an open source, collaborative software development platform and repository.
Available resources include:
|Representative timeline modelling||People’s life experience||Method and code||Constructing cross-sector representative timelines of people's life experience|
|Representative timeline visualisation||People’s life experience||Run code||Interactive timeline visualisation tool for exploring journey timelines|
|Wellbeing impacts evaluation||Benefit to employment transition||Method and code||Using linked administrative and survey data to evaluate the wellbeing impacts of transitioning from benefit to employment|
|Wellbeing impacts evaluation||Social housing||Method and code||Using linked administrative and survey data to evaluate the wellbeing impacts of social housing|
|Social services variables||Social Investment Analytical layer||User guide and code||Constructing events structured tables for cross-agency analytics in Stats NZ’s Integrated Data Infrastrcuture (IDI)|
|Services access||Mental health and addictions||Data definition and code||Events structured table of mental health and addictions service access based on available IDI data|