Analytics, research,
and data visualisation
that make a differenceAnalytics, research, and data visualisation that make a difference
and data visualisation
that make a difference
We help people
tell stories with data
We work with organisations, businesses, and communities to make the most of information by improving data collection, access, and understanding.
Data Visualisation
Visualisation turns data into accessible and usable information. We design simple to use interactive tools that allow users to explore the information while keeping the data secure.
Data Design
We design research projects that are efficient, effective and tailored to your information needs, and can advise on, supervise, or review projects — including through a Māori research lens.
Data Collection
Data collection can be expensive and time-consuming. We offer support for collecting data from surveys or existing sources.
Data Analysis
We can analyse a wide variety of data from administrative through to qualitative datasets. We specialise in applied social and epidemiological data analysis, including use of the Statistics New Zealand Integrated Data Infrastructure.
Training
Learning to use data should be fun, accessible, and relatable. We provide software training, short courses on data methods, statistical literacy workshops, work experience opportunities, student supervision, and scholarship and funding advice.
Data Sovereignty
Data should be used for tāngata, by tāngata, with tāngata. We help communities design research projects that meet their goals and aspirations, advising them on research design, planning, collaboration, and Māori data sovereignty decision-making.
Our work
This interactive tool visualises New Zealand's projected demographic changes from 2018 through 2043, providing insights into both total population and voting-age population trends across national and regional levels.
Some of the features include interactive population pyramids, to explore age and gender distributions; an interactive map, to compare demographic trends across regions; and electoral insights, to examine voting-age populations and new voter estimates.
iNZight is a free and accessible statistical visualisation software. Members of the iNZight Analytics team contribute to its development. It was initially designed for New Zealand high schools, allowing students to quickly and easily explore data and understand some statistical ideas (using the companion program VIT). However, iNZight now extends to multivariable graphics, time series, and generalised linear modelling (including modelling of data from complex surveys).
IDI Search is a web app that allows researchers to search for variables that are available in the IDI and, in some cases, metadata about these variables. The app uses data from IDI variables and Data Dictionaries shared with us by Stats NZ. The data are stored in a database which can then be searched using the web app.
IDI Search was developed by Te Rourou Tātaritanga, a research group funded by an MBIE Endevaour Grant (ref 62506 ENDRP).
COVID Modelling
Managing director Andrew Sporle was part of the initial COVID-19 pandemic modelling team with Te Pūnaha Matatini with a particular focus on equity. He helped to create an early tool that looked at regional outcomes by age and ethnicity if the pandemic continued without public health interventions. The team won the 2020 Prime Minister's Science prize for their work.
Since then Andrew has been involved with further COVID-19 projects, including a project that aims create a population based contagion model for New Zealand (led by Dr Dion O'Neale).
Andrew has also been involved in ESR work exploring genetic subtypes, resulting in the first paper to identify on plane transmission of COVID, and a second workstream demonstrating that the most effective vaccine rollout strategy for Aotearoa was one that prioritised the needs of Māori and Pasifika.
Recently, Andrew has been involved in work around improving access to Māori data from the Ministry of Health.
Pacific Health Reporting
Pacific peoples are often treated as a single group for the purpose of reporting on health outcomes in New Zealand, but this ignores the diversity between specific Pacific ethnic populations.
This report summarises work conducted using Statistics New Zealand’s (Stats NZ) Integrated Data Infrastructure (IDI) to better capture this diversity and enable more accurate reporting on cancer outcomes (all cancers and stomach cancer) among those who identify with “Level 2” Pacific ethnicities: Samoan, Cook Islands Māori, Tongan, Niuean, Tokelauan & Fijian.
This work was supported as part of a Health Research Council (HRC) Programme Grant 17/610 led by Professor Parry Guilford at the University of Otago.
We're well connected
iNZight Analytics works in partnership with government agencies, research organisations, and community groups in Aotearoa New Zealand and around the world.
Tom Elliott presents at eResearch NZ conference
iNZight's Tom Elliott presented at the eResearch NZ / eRangahau Aotearoa conference, held at Waipapa Taumata Rau | The University of Auckland on February 10-12.
eResearch NZ / eRangahau Aotearoa is a collaborative conference series organised by REANNZ and Genomics Aotearoa with the support of the Ministry of Business, Innovation and Employment (MBIE) and the wider research and science sectors.
Tom talked about new open-source tools under development which connect R and web frameworks like ReactJS, enabling the development of stateful web applications that can embed data sovereignty principles as and where needed.
For more information about the eResearch NZ / eRangahau Aotearoa conference, follow the link below.
Photo credit: 2025 eResearch Conference, https://eresearchnz.co.nz/2025-2/
RNZ Interview: Political Polls - Are they worth the hype?
Can you trust a political poll? It's an election year, so political polls will be a common feature in our news feeds. But how reliable are the results, especially as they vary between polls?
RadioNZ's afternoon show featured an interview with Dr Nicole Satherley, lead researcher at iNZight Analytics, discussing what we know about political polls.
Check out the interview here, or at the link below.
iNZight Analytics has also published a summary guide to understanding political poll results, along with a more in-depth guide. Both available on the project page.
This work is part of iNZight Analytics commitment to making data and statistics more accessible to the New Zealand public.
