Service
Data Analysis & Visualisation
Reporting should remove work, not create another reporting process. We build the dashboards, measures and analysis around the people who use them and the decisions they make repeatedly.
What you get
- Executive and operational dashboards your teams actually use
- Embedded analytics inside your own product or admin tools
- Customer purchasing behaviour analysis — preferences, buying patterns, loyalty
- Value distribution analysis across your product range and customer base
- Metric definitions and a single source of truth for the numbers that matter
- AWS QuickSight
- Snowflake
- Redshift
- SQL
- Python
Reporting that belongs in the working day
A dashboard earns its keep when it saves someone effort or helps them act better. We sit with the people making the recurring pricing, stock, campaign and staffing decisions, then work backwards to the information they need. The definitions are agreed with the people who use them and the numbers are built from a source the business can reconcile.
Embedded analytics
Reporting does not have to live in a separate BI tool. We put it inside the product or admin console where the work happens, so staff and partners do not have to leave the task, find a dashboard and translate it back again.
Know your customers
We analyse purchasing behaviour to understand which customers drive the business: what they buy, how often they return, what influences them and how value is distributed. The useful part is putting that understanding back into the work—where to spend, what to range and whom to look after differently.