Selected work

Projects where data and judgement meet

These examples involve source data, checked assumptions and reporting for public-sector or regional decisions. This page uses public references and general portfolio descriptions. Confidential data, assumptions and unpublished findings are not included.

Further details are available where client permissions allow.

Public-sector tax research

Inland Revenue High-Wealth Individuals Research Project

What the work involved: Over more than 18 months, Nigel built the data-extraction pipeline, developed verification checks, contributed economic modelling and calculation work, and helped write the report.

Why it mattered: Inland Revenue used tax administration data, public data and information collected from participants to analyse the effective tax rates of 311 high-wealth families.

Inland Revenue project page

Local government economics

Council economic monitoring systems

What the work involved: At Infometrics, Nigel developed council economic monitoring systems in New Zealand.

Why it mattered: The systems helped councils track local economies, compare places, brief elected members and explain change over time.

Council forecasting

Council economic state-of-play and growth projections

What the work involved: Economic state-of-play reporting and economic and demographic growth assumptions for council planning.

Why it mattered: Long-term planning needs a clear view of population, migration, labour-market, business and sector trends under uncertainty.

Economic assessment

Economic assessment of Te Puke and surrounding areas

What the work involved: Data science and economic assessment work to support a local growth and planning context.

Why it mattered: Growth decisions need clear evidence about local activity, jobs, business structure, population and the assumptions behind the numbers.

Official-data sourcing

Evidence packs and source audit trails

What the work involved: Finding official data, checking source quality, recording caveats, and turning source material into report-ready tables and figures.

Why it mattered: Public-sector decisions often need a clear line between official baseline data, client assumptions, modelling judgement and conclusions.

Framework design

Economic impact assessment framework

What the work involved: Framework work for economic impact assessment, including clear treatment of assumptions, local effects and evidence limits.

Why it mattered: Public-sector clients often need to separate total activity from activity that is likely to be new to the local area or New Zealand.

Forecasting and assumptions

Economic and demographic growth assumptions

What the work involved: Growth assumptions, forecasting and scenario testing for council decision-making.

Why it mattered: Forecasts influence infrastructure, housing, service planning and policy choices. The key assumptions need to be clear.

Regional strategy

Economic context for regional screen-sector strategy

What the work involved: Economic context and evidence to support regional screen-sector strategy work.

Why it mattered: Sector strategies need a realistic view of local strengths, constraints and economic contribution.

Policy evidence

Understanding data needs for public-sector monitoring

What the work involved: Helping turn monitoring and policy questions into practical data needs.

Why it mattered: Good monitoring starts with clear questions. The work needs to show what can be answered now, what needs better data, and what judgement is needed.

Business demography

Business births and deaths following Covid-19

What the work involved: Analysis of business births and deaths in regions following Covid-19 for several clients.

Why it mattered: Business-demography evidence helps explain local resilience, disruption and recovery after a major economic shock.

Data tools

Regional, demographic and industry profiles

What the work involved: Development of data tools and profiles that brought together official statistics, administrative data, modelling outputs, tables, charts and downloadable reports.

Why it mattered: Profiles and dashboards make complex regional and industry data easier for councils and organisations to use repeatedly.

Fintech data product

Hello Cashflow

What the work involved: Nigel is a co-founder, CTO and founding director of Hello Cashflow, and provides technical, modelling and advisory services to the company. The product connects to accounting software and turns financial data into clearer cashflow insight for business owners.

Why it mattered: Hello Cashflow shows how modelling, data tools and plain-English reporting can help small businesses make better decisions from information they already hold. In 2026, Hello Cashflow was part of Creative HQ's Fintech Lab 2026 cohort and was recognised as Judges Choice at the Kiwibank Start Up Pitch Breakfast during FinTechNZ Hui Taumata.

Hello Cashflow story · Creative HQ Fintech Lab · FinTechNZ Hui Taumata wrap

Need similar work?

Contact Nigel to discuss the decision you need to support, the data you have, and where the uncertainty sits.