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Practical perspectives on data governance, Microsoft Fabric, Power BI and analytics strategy for UK organisations.
Your Pipeline Succeeded. That Doesn't Mean The Data Is Right.
A pipeline that finishes without an error is not the same thing as a pipeline that delivered correct, complete data. Here is what real observability looks like in an Azure and Fabric estate, and why success and failure are the wrong two states to monitor for.
Scope creep is not bad luck. It is a decision you keep deferring
Every analytics overrun looks like bad luck from the outside. Looked at closely, it is almost always a change nobody formally evaluated. Here is the change-control framework we run so growth in scope is a decision, not a drift.
Decision intelligence versus the dashboard: what the deal is really about
The acquisition is a bet on closing the gap between insight and action. Where that closed loop beats the dashboard, and where the dashboard still wins.
Governed by default: how the platform should enforce the rules so people do not have to
Governance that relies on people remembering to be careful will fail. The version that holds is built into the platform, so the safe path is the easy one.
Phased delivery, not big-bang: how we roll out an analytics platform in stages
Most analytics failures are not technology failures, they are delivery failures. Here is how we structure a phased rollout, from first dashboard to a stabilised, governed platform, so scope stays under control and value lands before the project ends.
AI does not remove workflow debt. It compounds it.
Automating a bad process makes the waste faster, cheaper to repeat and harder to see. Redesign the work before adding AI.
Power BI report or data app: choosing well
Both options query the same model in DAX, so the choice is not about capability. Five questions that tell you which one a job needs.
Data governance in plain English: a working glossary for growing businesses
A plain-English glossary of data governance terms for growing businesses using Power BI and Fabric, covering ownership, meaning, trust, permissions, and adoption.
Translytical Task Flows: what changes when your report can write back, and what to agree before you switch it on
Power BI reports can now write back and trigger actions through Fabric User Data Functions. Here is where that earns its place, a worked example, and the governance questions to settle before you turn it on.
Power BI reports can now write back: what that actually changes
Translytical task flows reached general availability earlier this year. Here is what actually changes, what to check before switching it on, and where the real risk sits.
Data quality is not a project, it is a habit
You cannot fix data quality once and be done. The businesses that trust their numbers treat quality as something that runs continuously, not a clean-up you finish.
From Business Central to Fabric: the medallion architecture blueprint
Bronze, Silver, Gold: how the medallion architecture turns raw Business Central data into Fabric-ready analytics, and when Fabric is the right call at all.
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