Data analytics
Quoted per project
Collect, clean and analyse data, then turn the results into action.
Collect, clean and analyse data, then turn the results into action.
Digital business runs on data. Data varies in quality, much of it is unstructured, and different datasets can be related in unexpected ways. We use data-science tools to build data systems that collect, process and analyse your data, then act on the results — so data becomes a real advantage.
Who it’s for
- 01
Your data sits in different systems
Bring it together in one place.
- 02
Reports are compiled by hand
Reports and dashboards that update themselves.
- 03
You want to find patterns in your data
Analysis chosen to fit the question.
What we deliver
- Data source review
- Collection and cleaning pipelines
- Database or data warehouse design
- Reports and dashboards
- Analytical models (as needed)
Process
- 01
Clarify the need
Set out every requirement for the project.
- 02
Quote and prototype
Write a plan for the client’s needs, with a reference prototype and a quote.
- 03
Build a first version
Build a first version quickly against the project goals, so the client can try it and confirm the details.
- 04
Go live
After rounds of internal and user testing, the project goes live.
- 05
Monitor and improve
After launch we watch how it runs and improve it based on real use.
FAQ
Does it make sense for smaller data?
Yes. The point is organising data so you can decide with it — it doesn’t have to be huge.
Can you use our existing data?
Yes, we start by reviewing your existing sources.
How is data security handled?
Access rights and storage location are set according to the data and written into the scope.
How is it priced?
By number of data sources and scope of analysis.
Related services
Is it a fit for you?
Live WhatsApp chat — we follow up right away, with a proposal and a quote.