About Datafindy
Statisticians first. Technology second.
Datafindy is a statistics and data analytics consultancy built by a core team of two PhD and two MPhil statisticians. We help research teams, NGOs and growing businesses turn complex data into decisions they can defend, using rigorous methods, modern tools and plain English.
Our story
Built on public sector statistics, made for modern teams.
Datafindy began with a simple observation. Most organizations already have plenty of data. What they lack is someone who can tell them which numbers to trust, which methods fit, and what the results actually mean.
Our founder spent more than [10] years in government statistics, running provincial scale surveys, monitoring and evaluation, forecasting and policy analysis. That work demands results that survive official scrutiny. We bring the same standard to every client project, whether it is a doctoral thesis, a donor report or a sales dashboard.
Today our core team combines doctoral and master's level training in statistics with hands on experience in SPSS, R, Stata, Python, SQL and Power BI. We are now extending that rigor into automation and AI, so teams can use these tools with evidence rather than hype.
Datafindy in numbers
A small team with deep expertise.
Our mission
Turn complex data into reliable insight and practical decisions.
We exist to close the gap between having data and trusting it. That means clean inputs, the right methods, honest uncertainty and explanations that people outside statistics can use.
Who we work with
- Universities, postgraduate researchers and research institutes
- NGOs, donors and development programs
- Health and clinical research teams
- Small and medium businesses and ecommerce brands
- ML, LLM and data science teams
- Teams in the US, UK, Canada and Australia
What we stand for
Six principles behind every project.
Rigor
Methods chosen to fit your data, with every assumption tested and reported.
Transparency
You receive the code and the reasoning behind every number.
Plain English
Findings explained so boards, funders and supervisors can act on them.
Confidentiality
Your data is used only for your project and deleted on request.
Integrity
No fabricated results, no undisclosed ghostwriting, no shortcuts.
Responsible AI
AI is used where it helps, tested properly and kept under human review.
Academic integrity
We support researchers. We do not replace them.
For students and academics we offer analysis support, methodology consultation and coaching that you can disclose to your supervisor or institution. We do not write theses, fabricate results or complete assessed work on anyone’s behalf.
Ready to work with statisticians who explain their work?
Tell us about your project and receive a free assessment with a suggested approach and fixed quote.