Data analytics

We’re developing a range of tools to support improved social service decision making and measure and analyse service effectiveness.

Social Investment Analytical Layer (SIAL)

The Social Investment Analytical Layer (SIAL) will help agencies understand the potential return on investment (ROI) before investing in a new service.

Social Investment Data Foundation (SIDF)

The Social Investment Data Foundation (SIDF) code produces datasets within the IDI that are ready for analysis. It reduces the time to generate datasets and speeds up the analysis.

Social Investment Measurement Map (SIMM)

The Social Investment Measurement Map allows users to see what indicators or measures are available in the IDI to assess interventions.

Tools for technical users

We've produced a series of tools, with reusable code hosted on GitHub, which is intended for an experienced technical audience with access to Stats NZ's Integrated Data Infrastructure (IDI).

What is analytics?

In a nutshell, analytics is crunching the numbers to gain insights and understand the needs of target populations. When interpreted, agencies have the information they need to inform their investment and service delivery policymaking decisions.

Analytics gives agencies the information they need to:

  • Inform data-driven (evidence-based) decision making
  • Measure how well their services are being delivered
  • Measure whether they are delivering good quality outcomes for their service users.

Why is analysis important?

As well as detecting gaps and overlaps in service delivery, analytics will also help agencies to identify:

  • Whether services are being delivered in the best way possible
  • Whether the benefit to service usersis in proportion to the cost
  • Who’s doing well
  • Who needs help
  • Return on investment.

Quality analysis improves the understanding of the people and businesses who use public services and helps to determine whether services and policies are delivering the intended results to service users.

Steps at the core of an analytics approach

  1. Identifying segments of the population, using administrative data about individuals
  2. Estimating the effectiveness of social services
  3. Learning about the impact of services, interventions and programmes
  4. Determining whether services are being delivered to the people who need them most
  5. Quantifying the fiscal, economic, cultural and social value of the services New Zealanders receive.