BI Consulting Power BI • Data Modeling • DAX • Governance

BI that gets used.
Not just pretty pages.

I’m a one-person BI consultancy focused on shipping Power BI solutions that survive reality: clear metric definitions, solid semantic models, reliable refresh, and dashboards built for decisions — not screenshots.

See examples What I do
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Typical reduction in manual Excel effort (after proper modeling + automation)
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Time to a decision-usable MVP dashboard (most engagements)
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Common improvement in report load time after performance fixes

Live preview: “Report reliability & adoption”

Refresh health
SLA • failures • latency
97
score
Adoption signal
usage • return rate
+12.4
pp
Power BI Semantic model DAX performance Governance

Services

The goal isn’t “a dashboard”. The goal is fewer arguments about numbers and faster decisions — with ownership and maintainability built in.

Power BI dashboards

Decision-first UX, drill paths that make sense, and visuals that answer real questions (not just fill space).

Data modeling & DAX

Star schemas, measure design, calculation groups where useful, and performance tuning that users actually feel.

Power Query & SQL

Clean transformations, incremental refresh patterns, and pragmatic ETL/ELT design. Less “mystery logic”, more traceability.

Governance & semantic layer

Metric definitions, naming, certified datasets, RLS, and a sensible workspace structure. Best practice: governance that enables self-service, not blocks it.

Reliability & automation

Refresh monitoring, alerting, and “what broke?” runbooks. The goal: boring operations and fewer 8AM panic pings.

Selected work

Representative examples (details anonymized). Small shop, direct delivery. No “account manager layer”.

Power BI model rebuild for “one version of truth”

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tickets ↓

Unified definitions, rebuilt the semantic model, and removed duplicated logic across reports. Fewer disputes, faster delivery.

Star schema DAX measures RLS
Ask about it

Operational KPI dashboard (OTIF / logistics)

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adoption ↑

Designed a KPI tree that matches operations reality, added drill-down paths, and standardized exceptions. People used it because it answered “why”.

KPI design UX flow Drill paths
Check fit

Performance & refresh reliability program

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load time ↓

Fixed slow models (cardinality, relationships, measures) and implemented refresh observability. Result: less waiting, fewer refresh surprises.

Performance Incremental refresh Monitoring Runbooks
How it works

Excel-to-PBI automation

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effort ↓

Moved recurring manual reporting into a maintainable dataset + report workflow with clear ownership.

Power Query Scheduling
Let’s talk

Process

Lightweight and direct. The point is speed, clarity, and maintainability — without ceremony.

1

Scoping

Define decision, stakeholders, metrics, and baseline. Deliverable: a 1-page plan + risks.

2

Data & model audit

Quality checks, relationship design, measure review, quick wins. Deliverable: audit notes + actions.

3

Build MVP

Fast iteration with the real users. Deliverable: MVP report + semantic model, ready for feedback.

4

Handover

Docs, ownership, refresh monitoring. Deliverable: “boring reliability” + runbook.

About

One-person company. You talk to the builder, not a sales layer.

What you get

Clean models, defined metrics, and reports that are maintainable after I’m gone. If it can’t be owned, it’s a demo.

Best practice Documentation Ownership Monitoring

“We finally stopped arguing about KPI definitions. The dashboard became the meeting.”

Head of Operations Supply Chain

“The biggest win wasn’t a new visual — it was removing manual steps and making refresh reliable.”

BI Lead Consumer Business

Working style

Short loops, explicit trade-offs, no fluff. Weekly deltas and a decision list — not “status meetings”.

Weekly cadence Delta-first No fluff

Contact

Tell me the decision, baseline, constraints, and deadline. If it’s a bad fit, I’ll say so.

Quick info

Email: hello@breitenbachanalytics.com
Typical response time: 24–48h
Location: Remote / EU

If you include your current KPI definition + where the data lives (Excel/ERP/DWH), the first call becomes useful immediately.

Send a message

Frontend-only demo. Wire to your backend (or a form service) when you deploy.