Analysis, tabulation & reporting

Move from clean data to an insight story stakeholders can use.

MIU supports coding, crosstabs, weighting, significance testing, advanced analysis, charting, dashboards, toplines and presentation-ready reports.

Services

Analysis support from raw file to executive story.

Data preparation

Labels, coding, recoding, derived variables, missing-value review and file structure.

Crosstabs & testing

Banner tables, significance tests, subgroup comparisons and weighted outputs.

Advanced analytics

Segmentation, drivers, regression, MaxDiff or conjoint outputs where design and data allow.

Reporting

Charts, toplines, dashboards, executive summaries and presentation-ready insight decks.

Technology stack

Reproducible where possible, accessible where needed.

SPSSRExcelSASPowerPoint-style reportingAI-assisted synthesis

Clients can request code, syntax, annotated outputs or simplified handover files depending on the engagement.

Reporting principle

Answer the objective — not every possible question.

  • Organise findings around research questions.
  • Separate statistically meaningful differences from visual noise.
  • Explain limitations and sample context.
  • Use charts that match the data and decision.
  • Connect evidence to practical implications.
Common deliverables

Outputs aligned to client workflow.

Cleaned data

Excel, SPSS-compatible or agreed analysis file with labels and notes.

Tables

Crosstabs, banners, coding outputs, significance and weighted results.

Visuals

Chart packs, dashboards, Gantt charts, radar charts and custom visuals.

Reports

Topline, executive summary, full deck or decision workshop materials.

Demo portfolio: The public examples use synthetic data and are labelled as demonstrations. Real client work should be added only after permission and anonymisation review.
Interactive visual demo

Watch data move from tables to a decision-ready story.

Explore how MIU prepares, analyses, visualises and communicates evidence for different stakeholders.

Ready for a project-specific estimate?

Open the enquiry form with this service selected, review the prefilled details and click Send enquiry for review.

VariableLabelTypeQ1AwarenessNumericSEGSegmentDerived
Stage 1 of 4

Create a reliable analysis base

Labels, coding, derived variables, weights and data structure are reviewed before analysis.

  • SPSS / R / Excel / SAS
  • Coding and recoding
  • Weighting and quality notes
1 / 4
Analysis brief

Share the questionnaire, data, banners and reporting format.

Include weighting rules, statistical requirements, brand guidelines, decision audience and delivery deadline.

Request review