Statistical analysis is useful for testing hypotheses about populations of interest that are represented in data. We uncover patterns and trends in both structured and unstructured datasets and convert them into meaningful information and insights.

We build simple, striking data visualisations and interactive dashboards to make data accessible, understandable and useful for more people.

Stats NZ’s Integrated Data Infrastructure (IDI) facilitates access to microdata that helps us to tackle questions that have previously been unanswered. We are well equipped with IDI-qualified data scientists who have years of experience.

Operational algorithms do the work of identifying whether a decision is low-risk and predictable or high-risk and more complex. We use operational algorithms to automate data-driven decisions, often at the individual level. We’ve built large scale operational algorithms and are experts at building them to adhere to the standards and requirements of Stats NZ’s algorithm charter for Aotearoa New Zealand.

We use data analysis to understand different datasets and craft powerful questions to uncover key insights that support decision-making and direction. With the help of tools like Python, R, SQL, SAS and Excel, our analysts clean, aggregate and manipulate datasets to discover patterns, trends and insights.

We use machine learning methods to solve complex problems. Machine learning methods allow us to uncover useful information and find insightful themes in large and often messy datasets.