Fact
A Clean Dashboard Can Still Be Built on Broken Joins
Reporting trust depends on grain, coverage, and reconciliation, not visual polish.
Independent, senior advice for Microsoft-based organisations in South East Queensland, so you know which AI and data work is worth doing, and what to do first.
You may have artificial intelligence (AI) experiments scattered across the business, reports that people do not quite trust, and a list of possible projects with no clear priority.
MDE helps Microsoft-based organisations decide where AI and data will genuinely add value, with human accountability and a clear, sustainable next step.
Rory McCluskey does that work himself, so you deal directly with the person doing it, including when the answer is to do nothing yet.
Start with a Discovery Review. The others follow once the decision and the next step are clear.
A first step focused on one decision: what your current state actually is, which choices matter, and what to do next.
The decision is made. This turns it into a plan with options, owners and a first step.
For when a recommendation has to become a working outcome, with scope, ownership and handover agreed up front.
A working session that leaves your team with the method written down, not just the answer.
A regular senior view on architecture and AI decisions, for organisations that do not need a full-time hire.
Our approach
Each step is transparent, evidence-first and limited to what you actually need.
Review the goals, current systems, constraints and owners so the work targets the real problem.
Set out the options, the evidence behind them and the acceptance checks, then agree the next practical step.
Where delivery follows, move in small, agreed increments, keep the evidence visible, and hand over so your team can sustain it.
Insights
Notes from Rory McCluskey, MDE’s Principal Consultant / Enterprise Architect, on the evidence behind Microsoft, data and AI decisions.
Fact
Reporting trust depends on grain, coverage, and reconciliation, not visual polish.
Recommendation
A credible data-platform demonstration can start with openly licensed data, provided the evidence is real and the limits are explicit.
Recommendation
Deterministic loads, durable checkpoints, and explicit rerun checks turn recovery into a designed path.
Background detail on the platforms and practices MDE works across. The offers above are the simplest way to start.
Bring the decision you are facing, the systems involved and the risk you want to reduce. If the platform is not the problem, you will hear that too.