Data Preparation & Quality Control
Clean, structure and document your data so it is reliable, traceable and ready for analysis.
Research analytics & capacity development
Quantitative & Qualitative Research Analysis • R/RStudio • Python • Data Visualisation • Researcher Training
From raw and complex research data to clear, rigorous and meaningful evidence.
Hybrid consultations available: virtual sessions for clients anywhere, and in-person consultations in Durban by prior arrangement.

What we do
Professional support across the research-data lifecycle: preparation, quality control, analysis, interpretation, visualisation and communication.
Clean, structure and document your data so it is reliable, traceable and ready for analysis.
Exploratory and statistical analysis in R/RStudio or Python, with reproducible workflows and clear interpretation.
Systematic coding support, thematic analysis, theme development and presentation of qualitative findings.
Publication-quality figures, research tables, visual summaries and dashboards where appropriate.
Practical R, Python, data cleaning, analysis, visualisation and responsible AI training built around real research workflows.
Additional analytical, methodological and training capacity for research teams, universities, NGOs and organisations.

From data to evidence
Good analysis is more than running software. It is a transparent process that connects your research questions, your data and the evidence you need to communicate.
Organise, clean and understand the data.
Apply appropriate, reproducible methods.
Turn findings into clear evidence and visuals.
A clear first step
An initial professional assessment of your dataset, research objectives, analytical readiness and next analytical steps.
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Meet your consultant
PhD Researcher | Research Data Analyst & Consultant
Founder, BlackHer Enterprise (Pty) Ltd
Dr Mtetwa is a PhD-qualified researcher with experience in multidisciplinary research, quantitative and qualitative methods, complex research datasets, scientific publication and postgraduate research.
Her toolkit includes research data management, R/RStudio, Python, statistical analysis, research visualisation and responsible AI-assisted analytical workflows.
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Research integrity
AI-assisted tools may support coding, debugging, workflow development and analytical efficiency. They do not replace methodological judgement, analytical verification or scientific interpretation.
AI-Assisted. Researcher-Led. Professionally Reviewed.Interested, but not ready to book?
There is no pressure to begin a project immediately. Receive occasional practical guidance, or send a short enquiry so we can help you understand your options.
Stay connected
Occasional, useful guidance on research data, R/Python, qualitative analysis, visualisation and responsible AI—without an immediate consultation commitment.
Start small
Send a short, no-obligation question. We’ll identify whether a diagnostic, consultation, training session or scoped project may be appropriate.
Ready when you are
Tell us where your research stands and what you would like to achieve. We’ll recommend an appropriate next step and prepare a clear quotation.