NewStatistics reviews for AI and data science teams

Find the signal
in your data.

Your data already holds an answer. We help you find it honestly, with statistical analysis, survey research and data quality checks for research teams, NGOs, data scientists and growing businesses. Every method is explained in plain English.

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01 · TOOLS WE WORK IN

SpSPSSRRRsRStudioStStataExcelSQLPyPythonPower BINvNVivoEndNoteZoZoteroMeMendeley

02 · WHAT WE DO

Statistical Process Control (SPC)Business IntelligenceDashboard AutomationData Cleaning & ValidationSurvey Planning & Sampling DesignQuestionnaire DevelopmentSurvey AnalyticsClinical & Health Data AnalysisRegression ModellingANOVA & Experimental DesignHypothesis TestingMonitoring & EvaluationResearch MethodologyStatistics for AI & MLExcel KPI ReportingData Visualization

THE PROBLEM

Most data problems aren't software problems. They're method problems.

"We have the data, but can we trust it?"

Missing values, duplicates and inconsistent coding quietly distort every result built on top of them.

"The model runs, but is it statistically sound?"

Violated assumptions, underpowered tests and misread p values lead to confident but wrong conclusions.

"We need a report our funder or board will accept."

Results need clear tables, honest limitations and a written interpretation decision makers can act on.

SERVICES

Eleven services, one standard of rigor.

Each service is scoped as a fixed deliverable, so you know exactly what you are getting and when.

FOR RESEARCHERS, ANALYSTS AND AI TEAMS

Statistics Coaching

Individual and team coaching for researchers, analysts and AI teams, with statistical reviews of models, A/B tests and analyses, so your results hold up.

Explore statistics coaching

FOR RESEARCHERS · ACADEMIC TEAMS

Survey & Research Data Analysis

SPSS and R analysis of questionnaire data: weighting, cross tabulations, significance tests and regression, delivered with clear tables and a written interpretation.

Explore survey analytics

FOR ANY TEAM WITH MESSY DATA

Data Cleaning & Quality Assurance

Missing value, duplicate and consistency checks, with a cleaned dataset and a documented audit trail of every change made.

Explore data cleaning

FOR NGOs · DEVELOPMENT PROGRAMMES

Monitoring & Evaluation Data Support

Indicator frameworks, baseline and endline analysis, and donor ready tables and charts that show what changed and how confident we can be.

Explore monitoring and evaluation

FOR SMALL & GROWING BUSINESSES

BI Dashboards and KPI Reporting

Power BI and Excel dashboards and monthly KPI reports for sales, orders and operations, built once and refreshed automatically.

Explore BI and dashboards

FOR BUSINESSES READY TO USE AI SAFELY

AI Automation and Chatbots

Chatbots that answer from your own documents and automated workflows with a person in the loop, tested for accuracy before launch.

Explore AI automation
MORE SERVICES Product Insight Review Statistical Process Control (SPC) Data Automation and Web Data Collection Survey Design and Questionnaires Clinical and Health Data Analysis View all services →

HOW WE WORK

A five step method built for results you can check.

  1. 01

    Scope

    We agree the question, the data and the deliverable before any work starts.

  2. 02

    Audit

    Your data is checked for gaps, errors and inconsistencies, and every issue is logged.

  3. 03

    Analyze

    Methods are chosen to fit your data, and their assumptions are tested.

  4. 04

    Validate

    Results are cross checked and the work is saved as reproducible syntax or code.

  5. 05

    Explain

    You receive plain English findings, limitations and a handover call.

WHY DATAFINDY

Rigor you can see in every deliverable.

Anyone can run software. The difference is knowing which method fits your data, proving its assumptions hold, and explaining the result so you can act on it with confidence.

EVERY PROJECT SHIPS WITH

  • A data quality audit log
  • Assumption checks for every test
  • Reproducible SPSS syntax or R code
  • A plain English summary with limitations

Assumptions tested, not assumed

Normality, independence and sample size are checked before any result is reported.

Reproducible by design

You receive the code behind every number, so results can be rerun and reviewed.

Findings in plain English

Clear answers for boards, funders and supervisors, with honest notes on what the data can't show.

Confidential by default

Your files are used only for your project and deleted on request after delivery.

ABOUT US

Statisticians first. Technology second.

Datafindy brings public sector statistical rigor to research teams, NGOs and growing businesses, and now to responsible AI. Our methods come from years of government survey, forecasting and evaluation work, and every result is explained in plain English.

Our story → Meet the team → See our projects →
5
Step method, from scope to handover
Free
Assessment before any fee
Fixed
Quote before work starts
10
Specialist services

INSIGHTS

Stop guessing. Start with better data.

Plain English articles on statistics, surveys and reporting, written from real project experience.

All articles →

FAQ

Questions clients ask first.

Can't see yours? Ask it in the enquiry form and you'll get a direct answer.

What does a statistical analysis service include?

A data check, the agreed statistical tests, formatted tables and charts, a plain English interpretation, and the SPSS syntax or R code so the results can be reproduced.

Do you write theses or academic assignments?

No. We provide analysis support, methodology consultation and coaching that you can disclose to your supervisor, in line with your institution's rules.

How is my data kept confidential?

Files are shared through secure links, used only for your project, and deleted on request after delivery. We're happy to sign an NDA, and anonymized data is welcome.

How much does a project cost?

Most work is quoted as a fixed price after a short free assessment of your data and goals. Price depends on data size, complexity and deliverables.

Which time zones do you work with?

Clients in the US, UK, Canada and Australia. Most work runs asynchronously, with calls scheduled to suit your working hours.

Which statistical software do you use?

SPSS, R and RStudio, Stata, Excel, SQL and Python, with NVivo for qualitative data and EndNote, Zotero or Mendeley for references. We can deliver results and code in whichever tool your team already uses.

Can you help design a survey before data collection starts?

Yes. We help with survey planning, sampling design, sample size calculation and questionnaire development, so the data you collect can actually answer your questions.

What is statistical process control (SPC), and who needs it?

SPC uses control charts to tell normal variation from real problems in a process, such as quality, turnaround time or error rates. It suits any team that measures the same process repeatedly.

Do you offer web scraping, AI automation or chatbots?

Yes. We build Python automations and responsible web data collection, AI workflows with human approval steps, and chatbots that answer from your own documents. Every AI system is tested for accuracy before launch.

START HERE

Tell us about your data. We'll tell you what it can answer.

Send a short description and you'll receive a free assessment with a suggested approach, timeline and fixed quote. We reply within two working days.

Please don't upload confidential data here. We'll share a secure link once we've talked.