BI & reporting
Enterprise BI that ships with explainability.
- Enterprise BI
- Paginated
- Tableau
- SAP BO
BI, AI, and governance that teams can trust
I design and ship practical analytics systems with Power BI, Fabric, and Python - with performance, security, and explainability built in.
Research - WIP
Informed Coffee Decision
Small public demo to explore caffeine content and additives for common coffee options. Aim is transparent logic and safer defaults.
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Product
Power BI Prompt Navigator
Pattern library for analytics prompts with policy controls, style presets, and a light evaluation harness. Multilingual variants on core prompts, keeping BI terms stable.
LLM governanceSchema-awareEval harness
Enterprise technology stack
Data platforms
Lakehouse with guardrails: partitions, folding, predictable refresh.
- Fabric
- OneLake
- Databricks
- Azure SQL
Engineering
Clean M, sharp DAX, and Python for glue logic.
- Python
- DAX
- Power Query
- SQL
Governance
Secure by default: RLS templates, labels, baselines.
- RLS
- Labels
- Tenant
- Lifecycle
Apps & automation
From insight to action: approvals and low‑code actions.
- Power Apps
- Automate
- Actions
AI & Copilot
Governed prompts and light eval harness for safety.
- Prompt Nav
- Copilot
- Python helpers
Live development activity
ACTIVE
Now shipping
Prompt Navigator v3
Updated curation and style rules. Multilingual samples for non English teams without changing BI terms.
Performance
Model reliability
Guardrails to avoid Direct Lake fallback, better partitions, and folding checks. Faster investigations.
In progress
Workspace baseline
RLS templates, sensitivity labels, and workspace standards so teams start secure by default.
Contact
AVAILABLECommon questions
What makes Oxygen BI different?
We build reusable BI and AI components that scale, not one-off dashboards. Our focus is on explainable AI layered on governed data models, so every insight is transparent and trusted.
Do your solutions work with the tools we already use?
Yes, Oxygen BI extends existing investments across Microsoft Power BI, Fabric, and the wider Azure Data Platform, with additional expertise in SAP Business Objects and Tableau migrations. We also embed AI-driven capabilities such as reasoning flows and MCP-style components, so insights remain explainable, governed, and trusted across platforms.
How do you ensure trust in AI?
All our AI integrations are auditable and explainable, with outputs tied back to governed semantic models. That means every result can be traced and validated with confidence.
Which sectors do you focus on?
We started in banking and capital markets, but our work also spans sustainability, sport (including Premier League analytics), education, retail and distribution, and healthcare. This breadth means our BI and AI solutions are tested across industries where accuracy, governance, and speed all matter.