Dashboards that turned messy data into decisions.
Six projects built for companies in logistics, transport, e-commerce and sales — each one replacing manual spreadsheets with automated, trusted BI.
From Google Sheets to Power BI
A chaotic three-sheet sales pipeline rebuilt as a clean, automated funnel dashboard tracking revenue, conversion and rep performance in real time — without changing how the team worked.
Read the case study →The Hidden €131K Loss
A European logistics company was quietly losing six figures a year. Route-level analysis in Power BI surfaced the profit leaks and turned scattered operational data into a clear optimisation plan.
Read the case study →Operational Report for Transport
Invoices on a desktop, notes in WhatsApp, toll receipts in a drawer. One operational report that pulls the everyday chaos of a transport business into a single source of truth.
Read the case study →E-Commerce Dashboard
End-to-end analysis of online transactional data: Python for exploration, SQL for investigation, and a dashboard that makes customer and product behaviour readable at a glance.
Read the case study →VAR _activePartners =
FILTER( ALL( 'Partner'[ID] ),
[Status] = "Active"
|| [Dropped] >= _nextMonth )
RETURN COUNTROWS( DISTINCT(
UNION(
INTERSECT( _active, _txn ),
INTERSECT( _active, _rec ) ) ) )One Metric, Two Revenue Models
One-off transactions and multi-month installment plans resolved into a single monthly count of revenue-generating partners — using set logic rather than arithmetic, so nobody in both streams is counted twice.
Read the technical write-up →Revenue Analytics
A revenue performance dashboard breaking down growth, retention and margin. The write-up for this one is still being put together.
Case study coming soonWant something like this for your data?
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