Hypothesis Testing & Statistical Research
Hypothesis testing, survey design, survey analysis, experimental design, confidence intervals, significance testing and clear interpretation of uncertainty.
Statistical consulting services
Statistical support for research and business
RAMM Intelligence provides statistical consulting for research projects and data-led organisations — from survey analysis, hypothesis testing and methodology design to predictive modelling, lead scoring, forecasting and commercial analytics.
Clients worked with
Worked with organisations across research, education, law, consulting and analytics.
A selection of clients and collaborators supported through statistical consulting, analysis, modelling and reporting work.
Research-grade methods for practical data problems.
Support across statistical research, survey analysis, predictive modelling, forecasting, lead scoring, commercial analytics and reporting — built for clients who need defensible answers, clear interpretation and outputs their team can actually use.
Predictive Modelling & Lead Scoring
Predictive modelling, lead scoring, conversion models, customer segmentation, churn analysis and interpretable coefficients for decision-making.
Commercial Analytics & Business Intelligence
Deep analysis of sales data, margin, marketing, products and customers to reveal what is actually driving growth and profit.
Dashboards, Data Systems & Reporting
Power BI, SQL, Python and automated reporting workflows that turn messy data into repeatable business intelligence and KPI reporting infrastructure.
Statistical consulting case studies
Some examples of work we have undertaken
Each card gives a short insight into some of the projects we have undertaken for our various clients. We have worked on projects ranging from pure statistical analysis all the way to BI Dashboard Development.
Built an interpretable conversion model using behavioural, demographic and timing variables. Output: ranked leads, coefficient-based explanations and guidance for sales/marketing prioritisation.
Analysed products, channels, margin, shipping, fees and repeat customers to separate high-revenue activity from genuinely profitable activity.
Cleaned survey responses, tested group differences, estimated confidence intervals and converted findings into a clear research narrative for stakeholders.
Created forecasts with uncertainty bands and scenario testing, helping teams plan demand and inventory with transparent assumptions.
Compared conversion rates, customer value and channel mix to expose attribution problems and identify where budget should be protected, cut or tested further.
Designed automated reporting across SQL, Python and BI tools so leadership could track KPIs, diagnose changes and avoid manual spreadsheet reporting.
Engagement model
A practical statistical consulting process.
1
Question
Define the business or research question the analysis must support.
2
Evidence
Audit, clean and structure the data so the analysis is reliable.
3
Model
Use statistical modelling and visualisation to isolate the real signal.
4
Action
Deliver recommendations, dashboards, reports or tools your team can use.
Common project questions
Statistical consulting for research and data-led teams.
These are the kinds of questions clients often ask RAMM Intelligence before we start working together.
What statistical consulting services can RAMM help with?
RAMM supports hypothesis testing, regression analysis, survey analysis, experimental design, sample size calculations, power analysis, predictive modelling, forecasting, segmentation and statistical reporting.
Can you work with messy business data?
Yes. A typical project can include data cleaning, missing data analysis, outlier checks, KPI design, sales analysis, lead scoring, customer segmentation and dashboard reporting.
Do you support research projects as well as commercial analytics?
Yes. Projects can be framed around research methodology, survey evidence and statistical inference, or around business questions such as conversion, revenue, margin, forecasting and customer behaviour.
What tools and outputs can be delivered?
Outputs can include written statistical reports, Python analysis, SQL workflows, Power BI dashboards, forecasting tools, model documentation and clear recommendations for decision-makers.
Need help from RAMM Intelligence?
Get in touch
Send a short message about your project, dataset and the decision you are trying to make.