Data and statistical analysis
Practical data analysis for insight
Modern data analysis offers powerful tools for working with data, but these methods are most effective when combined with practical experience and domain knowledge. Schiff Consulting is highly experienced at applying data analysis methods to understand complex issues and solve real-world problems. Our approach to all data analysis work involves gaining a deep understanding of the data and how it was collected, to analyse it effectively.
Data analysis services
- Predictive modelling
- Causal inference
- Geospatial analysis and visualisation
- Development of automated data analysis and reporting pipelines
- Data cleaning and wrangling
- Automated text analysis (natural language processing)
- Static and interactive data visualisation
- Expert R code development including creation of custom R packages
Examples of work
Pricing data analysis: Analysis of a large dataset of supermarket pricing and sales, to help the NZ Commerce Commission with its groceries market study by testing for certain features of pricing behaviour by grocery retailers.
Transport forecasting: Developing a bespoke model to help the NZ Ministry of Transport forecast government revenues from fuel excise duties and road user charges.
Aviation forecasting: Statistical models to forecast passenger and aircraft movements for major airports in Australia.
Retail market data analysis: Analysing patterns in a large dataset of consumer usage and expenditure on mobile phone services, to support a review by the NZ Commerce Commission of pricing practices.