Data Analysis & Reporting
We process quantitative and qualitative data within an integrated analytical framework, making findings clear through visualisation and advanced statistical methods.
We use tools such as SPSS, Stata, R and Python, offering a broad range of methods from multivariate analysis and clustering to content analysis and thematic coding. In reporting, findings are structured around the audience's level of expertise and decision-making needs. Technical details appear in annexes, while executive summaries and policy briefs make it easier to put findings into practice.
Who is it for?
- Organisations holding administrative records or survey data
- Managers who want decision-support reports from existing data
- Units that need dashboards and periodic reporting
- Teams that need to analyse qualitative interview data systematically
Questions it answers
- What trends and differences does the existing data reveal?
- Which factors drive the outcomes?
- Which themes emerge from qualitative interviews?
- How can findings be presented most clearly to decision-makers?
- 01
Scoping & Question Definition
Evaluation questions are defined together with stakeholders, building on the existing evidence base. Purpose, users and context are clarified.
- 02
Design & Methodology
The mixed-methods design best suited to the research question is selected. Sampling, data collection instruments and the analysis plan are developed.
- 03
Data Collection
Data is gathered from multiple sources such as surveys, interviews, focus groups and administrative records. Data quality is monitored in real time.
- 04
Analysis & Validation
Quantitative and qualitative findings are integrated; internal consistency and reliability are tested. Preliminary findings are validated with stakeholders.
- 05
Reporting & Recommendations
Concise, action-oriented reports and policy recommendations are delivered to decision-makers, together with a mechanism to monitor implementation.
Frequently asked questions
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