Dashboards and reporting
The handful of numbers that actually drive decisions, on a screen your team opens on Monday rather than a deck someone rebuilds each month.
Data Analytics & Research
Analysis you can put in front of a board or a reviewer
Dashboards and reporting for the decisions a business makes every week, and study design, statistical analysis and interpretation for research that has to survive review. Same standard either way: the method is written down, and the result holds when someone checks it.
What's included
- Business dashboards, KPIs and reporting
- Data pipelines, cleaning and consolidation
- Research design and methodology review
- Statistical analysis (SPSS, R, Python, Stata)
- Survey design, data collection and thesis support
What this covers
What we do with your data
From board reporting and product metrics to academic research and thesis analysis, our analysts help you design the study, collect and clean the data, run the right tests, and present findings people can act on. Business or academic, the standard is the same: the method is written down and the result is defensible.
Data pipelines and cleaning
Getting data out of the places it is stuck, reconciling versions that disagree, and making the whole thing repeatable instead of a monthly ordeal.
Statistical analysis
Choosing and running the right test, checking the assumptions it depends on, and explaining what the output does — and does not — support.
Research design and methodology
Sample size, instruments, controls and analysis plan agreed before collection starts, which is the only point at which most problems are still fixable.
Survey design and field data
Questionnaires that measure what you think they measure, and a collection process that does not quietly ruin the data on the way in.
Thesis and publication support
Analysis, tables, figures and the write-up of results and interpretation, prepared to the standard a supervisor or journal will expect.
Who this is for
Two kinds of people ask for this
They arrive with different worries, so it is worth saying which one you are when you get in touch.
You want decisions backed by evidence, not by the loudest voice
- Numbers that live in several systems and disagree with each other
- Reporting that takes someone two days a month to assemble by hand
- A question — why did this drop, which channel actually pays — nobody can answer
- A dashboard nobody opens, because it shows everything and therefore nothing
You need analysis that will survive a reviewer
- A design and analysis plan settled before you start collecting
- The right test for your data, with its assumptions actually checked
- Tables and figures formatted to your department's or journal's standard
- Results and interpretation written so you can defend every claim in them
How it runs
What working with us looks like
Four stages, and you can stop after any of them. Nothing here depends on committing to the whole thing up front.
- 1
Understand the question
What decision or claim is this analysis meant to support? Everything else follows from that, and a surprising amount of work disappears once it is stated.
- 2
Agree the method
We write down the approach — data sources, tests, assumptions, what would falsify it — and agree it with you before running anything.
- 3
Do the analysis
Clean, model, check. You see intermediate results, including the ones that complicate the story, because those are the ones a reviewer will find.
- 4
Explain it
Tables, figures and a written interpretation you can present and defend yourself — not a file of output you would have to have explained to you.
What you get out of it
- See your numbers live, on dashboards your team actually opens
- Make decisions backed by evidence rather than the loudest opinion in the room
- Get defensible, publication-ready analysis and interpretation
What we work in
- SPSS
- R
- Python
- Stata
- Power BI
- Excel
- SQL
Questions
The ones we get asked
Can you do the analysis for my thesis?
Yes — design, analysis, tables, figures and the write-up of your results and interpretation. What we will not do is write your thesis for you or attach our name to work presented as entirely your own reasoning. The line we hold is that you must be able to explain and defend every number, which is exactly what a viva tests.
Our data is a mess. Is that a problem?
No — it is the normal starting point, and cleaning it is part of the job rather than a prerequisite you have to meet first. Send it as it is.
Which software will the results come in?
Whatever you or your institution require — SPSS, R, Python or Stata for analysis, Power BI or Excel where the output has to be maintained by your team afterwards. We will tell you if the one you have asked for is a poor fit for the question.
Can we run the analysis ourselves?
For meta-analysis, factor analysis, SEM and scale reliability, yes — our analysis workbench runs them in the browser on the same R packages we use, free while it is in Beta. For anything beyond those, or where the interpretation is the hard part, talk to us.
Prefer to run it yourself?
The analysis workbench
Meta-analysis, confirmatory and exploratory factor analysis, structural equation modelling and scale reliability — in your browser, on the same R packages we use. In Beta, free while it is, and no sign-up.
Have a question your data should answer?
Book a free 20-minute consultation. Tell us the problem and we'll tell you honestly what it needs — including when the answer is not us.