Services
Six connected areas of work, each led by the same statistical standards. Choose one, or combine them: survey evidence can inform a market study, and a market study can inform a feasibility assessment.
Statistical Consultancy
Study design, modelling and interpretation for academic, clinical and commercial projects, from power calculations to final report.
- Descriptive and inferential statistics
- Statistical hypothesis testing
- Non-parametric statistical methods
- Probability modelling
- Regression analysis
- Generalised linear models
- Analysis of variance (ANOVA) and covariance (ANCOVA)
- Mixed-effects and repeated-measures models
- Multivariate statistical analysis
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Data Analytics & Business Intelligence
Clean, connect and analyse your data, then turn it into dashboards and reports your team can use every week.
- Data collection and integration
- Data cleaning and preprocessing
- Data quality assessment
- Exploratory data analysis
- Statistical data analysis
- Predictive modelling
- Forecasting
- Customer segmentation
- KPI analysis
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Polling, Surveys & Public Opinion Research
End-to-end quantitative surveys: questionnaire design, sampling, fieldwork coordination, weighting and analysis.
- Research objectives and survey planning
- Questionnaire development
- Survey instrument validation
- Measurement scales
- Pilot studies
- Sampling frame development
- Probability and non-probability sampling
- Stratified and cluster sampling
- Sample size determination
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Market Research & Market Intelligence
Quantitative evidence on customers, demand, pricing and competitors for launches, market entry and investment.
- Market size estimation
- Market demand analysis
- Industry trend analysis
- Geographic market comparisons
- International market research
- Market entry research
- Consumer behaviour studies
- Customer segmentation
- Brand awareness research
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Feasibility Studies & Decision Support
Quantitative assessment of whether a venture, product or investment is commercially and financially viable.
- Market feasibility studies
- Demand forecasting
- Geographic expansion assessment
- Commercial viability assessment
- Pricing and revenue scenarios
- Cost and profitability modelling
- Break-even analysis
- Risk assessment
- Sensitivity analysis
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Statistics, Data Science & Professional Training
Courses and one-to-one training in statistics, research methods, R, Python, SPSS and Excel, for individuals and teams.
- Introduction to Statistics
- Probability and Statistical Inference
- Applied Statistics
- Statistical Hypothesis Testing
- Regression and ANOVA
- Advanced Statistical Modelling
- Research Methods
- Survey Design and Sampling
- R Programming
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Have a research question or data challenge?
Tell us about your project and discover how ezyStat can help you design, analyse and interpret your data.