Clear answers to the questions that matter, from data you already have.
You already have more data than you use: in your shop, your ad accounts, your CRM and your accounts. We bring it together, check it’s accurate and answer specific questions, like which customers are most profitable or which campaigns drive sales. You get a plain-English report with clear recommendations, once or every month or quarter.
One team, start to finish
One partner from messy data to clear decisions
The same team checks your data, cleans it up, answers your questions and explains what to do next, so nothing gets lost between suppliers. Everything is delivered in-house by Studios 6.
- A free audit of your data and your questions
- A fixed-price data audit for bigger projects
- Analysis scoped and priced upfront
- Regular reports, monthly or quarterly
Analysis or BI?
Answers now, or dashboards every day
- Data analysis answers specific questions. You get a one-off or regular report with recommendations on what to do next.
- Business intelligence builds always-on dashboards that update themselves, so your team can see the numbers every day.
Many businesses start with analysis, then turn the figures they check most often into a dashboard.
What we do
Platforms we work with
We take data from GA4, Shopify, WooCommerce, HubSpot, Klaviyo, Xero, QuickBooks, Sage, NetSuite, Microsoft 365 and Google Workspace. We analyse it in Excel, Google Sheets, SQL, Python or R, and show it in Looker Studio or Power BI. When data needs a central home, we use BigQuery, Snowflake or Microsoft Fabric. We recommend what suits your business, and explain why.
Get your data ready
Clean, joined-up data you can trust.
Data audit and cleansing
Find out whether you can trust your numbers, then fix what’s wrong at the source.
Data warehousing
Your shop, CRM, marketing and finance data in one place, ready for analysis and dashboards.
Answer the questions
Plain-English answers about marketing, customers and what’s coming next.
Marketing analytics
Which marketing brings customers and sales, not just clicks, using GA4 and your sales data.
Customer and sales analysis
Which customers, products and channels make you money, and where to focus next.
Forecasting
Likely ranges for sales, cash and stock, built from your own history, with the assumptions written down.
How we work
Audit, questions, clean, analyse, recommend
01
Free audit
We look at the data you have and the decisions you’re facing. It’s free.
02
Agree the questions
We agree in writing what you need to know, and the price. Bigger projects start with a fixed-price data audit.
03
Collect and clean
We bring the data together and check it’s accurate before we use it.
04
Analyse
We answer the agreed questions, and check our findings with your team.
05
Report and recommend
A plain-English report with clear next steps. Repeat it monthly or quarterly, or turn it into a dashboard.
Done properly
Good analysis depends on trust: in the numbers, and in how we handle your data. This is what we design around:
- UK GDPR: we agree a clear purpose for each dataset before we use it, and only use personal data in ways that fit that purpose.
- Data minimisation: we only take the data each question needs, and leave out personal details wherever the answer doesn’t depend on them.
- Secure access: named accounts, read-only wherever possible, and our access removed when the work ends.
- Anonymised or aggregated reporting: reports show groups and totals rather than named people wherever possible.
- Your data stays yours: it stays in your systems and accounts, and we don’t keep copies after the work ends.
We’re not lawyers. We work carefully, and tell you when you need specialist advice. More detail: Data audit and cleansing and Data warehousing.
How data analysis connects to our other services
- Business intelligence: the figures you check most often, in dashboards that update themselves.
- Digital marketing: campaigns planned around what the data says works, with Analytics and tracking you can trust.
- Digital transformation: the right systems set up first, such as CRM systems and Accounting and finance systems, so good data comes in from the start.
- Automation: systems connected, so data flows between them without retyping.
- Web development: websites and shops that record what visitors do and buy.
Questions
What’s the difference between data analysis and business intelligence?
Data analysis answers specific questions, once or on a regular schedule, and ends with recommendations. Business intelligence builds always-on dashboards that update themselves. See Business intelligence.
Where do we start?
With a free audit. We look at the data you have and the decisions you’re facing, and tell you which questions to answer first.
Our data is a mess. Is that a problem?
It’s normal. We check and clean it before we use it, and fix problems at the source. See Data audit and cleansing.
Who can see our data?
Only the people who need to. We use named accounts with read-only access wherever possible, report on groups rather than named people, and remove our access when the work ends.
Do we need a data warehouse?
Not always. Many questions can be answered from your existing systems and spreadsheets. We’ll tell you honestly if a warehouse would help. See Data warehousing.
Pricing: a free audit first. Bigger projects then start with a fixed-price data audit from £950 + VAT. One-off analysis from £750 + VAT, with the questions and price agreed upfront. Regular reports from £350 + VAT a month.
Here’s what your data can tell you, and what to do about it.
Book a free audit. We’ll look at the data you already have and tell you honestly which questions it can answer.