About

I work at the intersection of data, BI platforms and AI-assisted analytics.

I am a hands-on BI and data leader focused on analytics modernization, semantic quality and the practical use of AI in business intelligence.

My work sits between engineering, business intelligence, analytics strategy and stakeholder-facing delivery. I am interested in how organizations can build analytical systems that are not only faster, but also more reliable, explainable and useful for decision-making.

A large part of my current thinking focuses on AI-augmented self-service analytics: what happens when business users can generate reports, SQL, summaries and dashboard prototypes with AI assistance, and what kind of data and metadata foundation is needed to make those outputs trustworthy.

BI & Analytics Platforms

Power BI, semantic models, reporting modernization, BI governance, platform support and analytical product thinking.

AI-Augmented Analytics

Practical use of AI for analytics workflows, prototyping, SQL generation, observability and decision-support applications.

Metadata & Semantics

Metric definitions, business logic, lineage, ownership and the role of metadata quality in reliable AI-assisted analytics.

Current research focus

Metadata quality as a condition for effective AI-augmented self-service analytics

I am currently exploring how metadata quality influences the reliability, reproducibility and usefulness of AI-assisted analytics in finance-oriented BI environments. The central question is simple: if AI can generate analytical outputs faster, what makes those outputs safe enough to trust?

What I write about

Notes from the edge of BI, AI and data leadership.

I write about the future of business intelligence, especially the shift from manually produced dashboards toward AI-assisted analytical workflows.

I am particularly interested in the less glamorous foundation behind that shift: metadata, semantic models, metric definitions, governance, validation and organizational ownership of analytical logic.

My perspective is practical rather than purely theoretical. I care about systems that work in real organizations, with real data quality constraints, real stakeholders and real accountability.