Blog
Practical perspectives on data governance, Microsoft Fabric, Power BI and analytics strategy for UK organisations.
In the loop or on the loop: governing analytics that AI helped build
Teams adopted AI building far faster than they decided how to check it. The light, practical gates that keep AI-built reporting trustworthy.
Your data pipeline doesn't have an uptime problem. It has a trust problem.
Uptime tells you the server was on. It says nothing about whether Monday's board pack was right. Here is how we design Azure data pipelines around freshness, completeness and trust — with SLAs the business actually understands.
Everyone is suddenly buying a semantic layer. Here is why.
The deals reshaping analytics are all chasing the same thing. What a semantic layer is, why it suddenly matters, and why Pyramid's is a big part of what makes it so valuable.
Microsoft Fabric for the mid-market: what it replaces, how long it takes, and when it's the wrong call.
Fabric promises one platform for everything. For mid-market teams that is genuinely compelling — and occasionally a mistake. Here is what it consolidates, realistic timelines, what you need in place first, and how it stacks up against Snowflake and Databricks.
Why we deliver analytics in fixed, outcome-based phases (and what that protects you from).
Most analytics projects fail commercially before they fail technically. Here is the phased, fixed-scope delivery model we use — assessment to optimisation — and the questions to ask any consultancy before you sign.
You can build a dashboard in twenty minutes. That is the easy part.
The twenty-minute build is real. The trust, the testing and the ownership are not faster, and that is where the work now lives.
Choosing a Power BI consultancy: the questions that actually matter (and what it costs).
Most Power BI consultancy shortlists are built on dashboard screenshots. Here is what actually separates a good partner from an expensive one — the evaluation criteria, realistic costs and timelines, and how migrations really work.
Data governance for the mid-market: a lightweight framework that actually gets used.
Enterprise governance frameworks are built for organisations with a Chief Data Officer and a committee for everything. Mid-market teams need something lighter, business-led, and measurable. Here is the framework we use.
AI-augmented analytics: what's real, what's ready, and what stops teams adopting it.
AI in analytics is past the hype and into the awkward middle — genuinely useful in places, oversold in others, and blocked less by technology than by trust. Here is what actually works, and what stops teams adopting it.
Pyramid and Power BI, side by side: two strong platforms, different fits
Two excellent platforms, two philosophies. What each does brilliantly, where Pyramid is the clear choice, and why fit matters more than a feature scorecard.
Your semantic model just became more important, not less
As reporting tools multiply and churn, the one layer they all sit on matters more, not less. Why the model is the bet that lasts.
Power BI Changes Need A Release Process. Most Teams Don't Have One.
Most Power BI estates have no formal release process. Here is what a proper CI/CD process for Power BI and Fabric actually looks like.
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