Reports that answer the question before it's asked
From a single quick-win report to a properly modelled Power BI setup for a whole business — priced for owner-run and mid-size teams. The rigour of a much bigger firm, sized to your business.
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Every layer of the Power BI stack,
wielded end-to-end
We're a full-lifecycle Power BI practice: discovery, semantic modelling, DAX, visuals, deployment, governance, and .NET integration. No handoffs, no finger-pointing.
Report design & development
Dashboard creation
Data modeling
Real-time analytics
Power BI + .NET integration
Advanced DAX
Discovery, model, measure,
then visualise
90% of the value in a great dashboard is created before the first visual is placed. We invest in the model — so the visual layer is the easy part.
Discovery & metric tree
One workshop, three stakeholders. We leave with a written metric tree, a decision list, and a wireframe you can veto before we build.
Semantic model
Star schema, conformed dimensions, calculation groups. DAX gets its own file with unit-tested measures, not sticky-note logic.
Refresh & performance
Incremental refresh, aggregations, and query folding. Reports load in <5s and refresh windows fit inside your ETL SLA.
Governance & deployment
Workspaces, deployment pipelines, RLS, sensitivity labels, and change log. Audit-ready, executive-friendly.
Every discipline a Power BI practice needs
A modern Power BI developer wears seven hats: query author, semantic modeller, DAX engineer, visual designer, deployment operator, embedded integrator, and governance steward. We built our practice around all seven.
DAX at scale
Time intelligence, calculation groups, virtual relationships, and format-string expressions. We write measures that stay fast when the fact table crosses a billion rows — using CALCULATE, KEEPFILTERS, TREATAS, and window functions where they earn their place. Basic DAX is table stakes; advanced DAX is where scaling problems get solved.
Power Query & M
Extract, transform, and load from SQL Server, Oracle, BigQuery, Snowflake, SharePoint lists, REST APIs, and Excel — the full connector matrix. We author query-folding-friendly M so transformations push down to the source, keeping refresh windows short and gateways happy.
Semantic modelling
Star schema, conformed dimensions, role-playing dates, and hierarchies that survive schema drift. We consolidate CRM, ERP, and finance sources into a single reusable model — the foundation that everything else depends on.
DirectQuery, Import & DirectLake
We pick the right storage mode per fact table, not per report. Aggregations, dual mode, composite models, and DirectLake on Fabric — each with the trade-offs that keep P95 dashboard load under a second.
Power BI Service & Gateway
Workspace hygiene, deployment pipelines (dev / test / prod), incremental refresh, XMLA endpoints, dataflows, and On-premises Data Gateway configuration for VNet-bound sources. The operational side of Power BI, done right.
Custom visuals
When the built-in gallery falls short, we build with the Power BI visuals SDK (TypeScript, D3) or embed R and Python visuals for statistical layers. Certified for marketplace when needed, scoped for one report when that's all it needs.
Mobile-first layouts
Every report ships with a phone layout in the Power BI Mobile app. The owner checks it on their phone at lunch — they don't wait to sit down at a laptop.
Governance & security
Row-level and object-level security wired to Entra ID group membership. Sensitivity labels, DLP-aware sharing, and audit log ingestion into your SIEM. Auditor-ready by default, not by retrofit.
Pick the shape
that fits the work
From a one-week quick win to a monthly retainer that keeps things running. Fixed fee where we can, T&M where we can't — and priced so a small business can actually say yes.
Numbers below are starting estimates. Final rates vary with scope, data complexity, and timeline — every engagement is quoted after a short discovery call.
Quick Report
A single business question, answered fast.
Estimate — final rate varies with scope
- 1–2 week delivery
- Single subject area & data source
- Small star-schema model + DAX
- One polished Power BI report
- 1 round of feedback + polish
- Handover doc & short training video
Small-Business Build
A full BI setup for a small or mid-size team.
Estimate — final rate varies with scope
- Discovery, KPI workshop & metric tree
- Multi-source semantic model on SQL / Postgres / Excel
- Workspace setup + row-level security
- 3–5 report pages incl. mobile layout
- Optional light .NET / API integration
- Documentation, training & clean handover
Ongoing Support
A fractional BI hand, on retainer.
Estimate — final rate varies with scope
- Report iteration & new visuals
- DAX tuning & refresh monitoring
- Small monthly capacity check
- Quarterly governance & lineage review
- Email / Slack response
- Cancel any time
Prices shown are starting estimates, not fixed quotes. Every tier ends up with a written scope, a fixed-fee option where possible, and a transparent statement of work — no surprise change orders.
Where Power BI
changes the meeting
A dashboard is only worth building if it changes a decision. Below are the recurring patterns where clients see a return within a quarter.
Sales dashboards
Pipeline velocity, rep quotas, and forecast attainment fed live from CRM. Weekly review meetings collapse from 90 minutes to 20.
Financial reporting
Consolidated P&L, cash position, and variance analysis modelled once, distributed across ledgers, entities, and currencies.
Operational metrics
OEE, cycle time, defect PPM, and inventory turns unified from MES and ERP. Line managers stop chasing spreadsheets.
Retail & e-commerce
Basket size, contribution margin, and cohort retention across marketplaces, stores, and DTC channels.
Healthcare analytics
Throughput, LOS, and case-mix indexes with governed PHI access and audit trails. HIPAA-aware from day one.
People analytics
Attrition risk, DEI representation, and internal mobility with role-based access and de-identified benchmarks.
Should you actually move to Fabric?
Fabric is an SaaS-style extension of Power BI Premium, inspired by the Databricks lakehouse. For some teams it's a strategic upgrade; for others it's a $270-a-month curiosity. We'll tell you which — with your workloads, not a demo tenant.
When Fabric earns its keep
- You have meaningful data sitting in flat files (CSV, Excel) — columnar storage inside Fabric loads much faster and shrinks file sizes dramatically
- You want a SQL endpoint on top of Power Query pipelines
- You need to capture and store history from APIs over time
- You're already on Power BI Premium and want DevOps pipelines, notebooks, and mirroring
When Fabric is overkill
- Your data lives happily in SQL Server and Power BI import mode already works
- You have no data engineers or data scientists to leverage Spark
- Your monthly compute needs are minutes, not hours
- You're not on Power BI Premium and can't justify F2 baseline cost (~$270/mo)
How we help either way
- Benchmark your workloads on a Fabric 60-day trial
- Design a pragmatic medallion (bronze / silver / gold) that fits a small team
- Set up surge protection and capacity monitoring so an F2 doesn't burst into an F64 bill
- Migrate cleanly, or hand you a written recommendation to stay on Pro / PPU