Power BI dashboards that surface the one thing that matters before the meeting starts. Built on clean ETL pipelines, precise DAX, and the IBCS reporting standard — so every chart communicates clearly, not decoratively.
Every dashboard is designed to match the reporting convention your organisation or audience expects — whether that is a formal international standard, a corporate branding framework, or a bespoke visual language. We work to the standard that serves your stakeholders, not a default template.
From raw data extract to board presentation — the full pipeline, or specific layers depending on where your current setup breaks down.
Executive and operational dashboards built in Power BI — layout, page design, interaction model, and data visualisation choices made deliberately against the IBCS standard. Not templates; purpose-built for your specific reporting questions.
Measures written to calculate what the business actually needs — rolling averages, period-over-period variance, cumulative totals, dynamic segmentation, and budget vs actual with time intelligence — without breaking when filters change.
The data pipeline from source system to Power BI model — Power Query transformations, data source connections (SAP BW via OData, Xero API, Excel, SQL), incremental refresh configuration, and gateway management for scheduled auto-refresh.
Star schema design, relationship management, calculated tables, and data type normalisation — the structural foundation that determines whether your DAX is fast and accurate or slow and wrong. Built once, maintained cleanly.
Monthly and quarterly management reporting packs — designed for printing or presentation, following IBCS layout conventions, with automated refresh from source data. The pack updates itself; the analyst reviews and presents.
Rolling 12-month revenue with correct time intelligence — the type of measure that requires both DAX expertise and a properly structured data model to work reliably across all filter contexts.
-- Rolling 12-month revenue: works correctly with any slicer selection Revenue R12M = VAR LastDate = MAX ( Dates[Date] ) VAR StartDate = EDATE ( LastDate, -12 ) RETURN CALCULATE ( [Revenue Actual], DATESBETWEEN ( Dates[Date], StartDate + 1, LastDate ) )
VAR captures the current filter context at evaluation time, preventing the common bug where rolling calculations ignore slicer selections. DATESBETWEEN with explicit start/end dates is more predictable than DATESINPERIOD — the calculation is readable, testable, and behaves correctly when date filters, cross-report filters, or what-if parameters are applied.Every BI engagement is built on a properly designed data pipeline — so refresh is reliable, transformations are documented, and the model performs at scale.
Not a dashboard. An intelligence layer your team updates, extends, and presents with confidence.
Scheduled refresh via Power BI Service — the dashboard updates from source data automatically on your defined schedule with no manual intervention.
Every measure documented — what it calculates, how it handles edge cases, and what to check if the number looks wrong.
A session covering how to use the report, how to extend it with new measures, and how to interpret the IBCS visual conventions.
The star schema documented with table descriptions, relationship logic, and source system mapping — so any future developer can maintain it.
One month of email access for questions, performance issues, and minor measure adjustments after go-live.
Every visual follows the IBCS standard — consistent notation, unified scales, no decoration. Readable by any finance professional without a walkthrough.
Scoped from a diagnostic call — no proposal issued without clarity on the source data, the audience, and the reporting question being answered.
One executive or operational dashboard — data model, DAX measures, IBCS-compliant layout, and auto-refresh configuration. Built to answer a specific reporting question.
Complete BI infrastructure — multiple dashboards (executive, operational, departmental), shared semantic model, and a documented architecture your team can extend independently.
An existing Power BI environment reviewed — slow measures identified and rewritten, data model restructured, layout brought to IBCS standard, and documentation created for what was previously undocumented.
A free 30-minute discovery call to scope your reporting infrastructure and identify where the current setup is failing.
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