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Practical perspectives on data governance, Microsoft Fabric, Power BI and analytics strategy for UK organisations.
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.
As AI starts to act, governance can't be the top layer
The 'layers of AI' diagrams are a useful map of how the field grew. Read as a map of accountability, they tell leaders something more urgent: as AI moves from describing to deciding and acting, control has to run the full height of the stack.
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 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.
If you run Pyramid today, here is what to do now
Nothing breaks on day one. A calm, practical plan for Pyramid customers: what to watch, what to protect, and why a rushed migration is the wrong move.
What Fabric data apps change, and what they don't
Fabric data apps let you build reporting entirely in code. Here is what that really gives you, what it quietly takes back, and who should care.
AI, your data and UK data protection: what a leader needs to get right
Feeding your business data into an AI tool is a data protection decision, not just a technology one. UK GDPR obligations do not pause because the tool is impressive, and the questions the ICO will ask are ones you should be asking your vendor before you sign anything.
ServiceNow has bought Pyramid Analytics. Here is what it means.
ServiceNow has bought Pyramid Analytics, and the price tells the story. What ServiceNow really acquired, why it is a vote of confidence in Pyramid, and what it means for the rest of us.
What an AI analytics project costs, and how to budget for one
AI project budgets tend to be wrong in the same direction: undercosted at the start and expanded mid-delivery. Getting a realistic number before you begin is not pessimism, it is the thing that decides whether the project survives long enough to deliver anything.
Are your people happy? The first question in any Data or AI project
A shopping list of features was a slow way to waste money. A shopping list of AI ideas is a fast one, because the tools now say yes to almost anything you point them at. The discipline has to come from the questions you ask before you start.
Forecasting and demand planning on the data you already have
Most forecasting projects stall not on the method but on a misbelief that the data is not good enough yet. In practice, a straightforward trend model on clean historical data outperforms a sophisticated model on data nobody trusts. And you already have the historical data.
ODBC to ADBC in Power BI: what's actually changing
Microsoft is moving Power BI and Fabric off embedded ODBC drivers and onto Apache Arrow-based ADBC. Here's what's changing, who it affects, and what to do about it.
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