Quantitative data
analysis

Descriptive statistics

We begin with detailed descriptive analysis to help you understand the structure and trends within your data. This includes calculating frequencies, means, medians, and cross-tabulations, as well as creating visual summaries such as charts, graphs, and dashboards. Our descriptive insights lay the groundwork for deeper analyses and ensure a clear understanding of patterns and relationships within your dataset.

Inferential statistics

We conduct inferential analyses that test hypotheses and identify statistically significant relationships. Using methods such as t-tests, chi-square tests, ANOVA, correlation analysis, and regression modelling, we help you uncover causal links and measurable effects. Our approach ensures that analytical findings are both statistically sound and practically relevant for decision-making.

Custom analysis frameworks

Every dataset and research question is unique. We design customized analytical frameworks aligned with your study’s objectives, data structure, and methodological approach. Whether it is an evaluation study, impact assessment, or exploratory study, we tailor statistical tests and modelling techniques to produce insights that are valid, nuanced, and actionable.

Interpretation and reporting

Numbers tell a story, and we help you tell it effectively. We translate statistical results into clear narratives that highlight key findings, implications, and recommendations. Our reports balance analytical rigour with readability, ensuring that both technical and non-technical audiences can easily grasp the significance of the results and apply them in strategy or policy decisions.

Software expertise

We work across leading analytical platforms including SPSS, Stata, and R, providing both hands-on analysis and training support where needed. We ensure that your analyses are conducted efficiently, reproducibly, and with full transparency, using the tools best suited to your data type and project scope.