Resources

Articles on data, AI and craftsmanship

Practical perspectives on the foundation under AI: owned meaning, trustworthy data and decisions you dare to act on.

46 articles

What is master data, and why does your reporting depend on it?

Customer, item, location and supplier: the data that shows up everywhere. When it is wrong, no report above it is right.

28 August 20266 min read

What is data governance? Roles, agreements and evidence

Explainer

Concepts

What is data governance? Roles, agreements and evidence

Data governance is not a policy document. It is the agreement about who owns which term, what it means, and how you can still retell that six months later.

28 August 20267 min read

Explainer

Concepts

Effective data lifecycle management

Data has a life: created, used, retained, removed. Skip a phase and you pay twice - in storage, and in wrong answers.

28 August 20265 min read

Build or buy a data platform? How to make that call

Explainer

Craft

Build or buy a data platform? How to make that call

Building gives you grip, buying gives you speed. The choice does not depend on your budget but on how unique your work is and who runs it in two years.

27 August 20266 min read

Sensitive data in Power BI: row-level, object-level and the layer beneath

Explainer

Craft

Sensitive data in Power BI: row-level, object-level and the layer beneath

Who may see which number is an agreement, not a report setting. How to enforce it in Power BI, and where the report stops.

27 August 20267 min read

Direct Lake, Import or DirectQuery: which storage mode when

Explainer

Concepts

Direct Lake, Import or DirectQuery: which storage mode when

Three ways Power BI reaches your data, and a sober way to choose without rebuilding your model.

26 August 20267 min read

What is a data platform? The layers, the choices, the pitfalls

Explainer

Concepts

What is a data platform? The layers, the choices, the pitfalls

A data platform is not a tool you switch on. It is the layer where your data comes together, gains meaning and becomes reusable. Here is what that layer looks like.

26 August 20267 min read

Incremental refresh in Power BI: what it is and when it pays off

Explainer

Craft

Incremental refresh in Power BI: what it is and when it pays off

Why a nightly refresh keeps getting longer, how incremental refresh fixes it, and the conditions your source has to meet first.

24 August 20267 min read

Signal

AI & Data

Connect once, not once per agent

Every agent you add has to be identified, authorised, networked and trusted, and then kept that way. You solve that once, centrally, or you turn it into a permanent job that grows with every agent you run.

21 August 20266 min read

Start with one decision that has to get better

Pick a recurring question where teams lose time or contradict each other. Make the meaning behind it explicit and bring it straight into daily operations.

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Articles on data, AI and craftsmanship

What is master data, and why does your reporting depend on it?

What is data governance? Roles, agreements and evidence

Effective data lifecycle management

Build or buy a data platform? How to make that call

Sensitive data in Power BI: row-level, object-level and the layer beneath

Direct Lake, Import or DirectQuery: which storage mode when

What is a data platform? The layers, the choices, the pitfalls

Incremental refresh in Power BI: what it is and when it pays off

Connect once, not once per agent

Most read

Start with one decision that has to get better