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Services Optimisation & Performance Tuning

Optimisation & Performance Tuning

Slow reports, bloated models, inefficient DAX. We diagnose the root causes — not the symptoms — and implement targeted fixes that your users will notice immediately.

Discuss Your Project

The Problem

It's a familiar pattern: reports that were fast when first built grind to a halt as data grows. Users complain. Trust erodes. Adoption drops.

The instinct is to throw more hardware at it — bigger capacity, more memory. But in most cases, the real problem lives in the data model and the DAX, not the infrastructure.

How We Tackle It

We treat performance tuning as a diagnostic exercise, not a checklist of generic tips. We measure before we touch anything.

Using DAX Studio and VertiPaq Analyzer, we profile the model to pinpoint:

  • Which tables and columns are consuming the most memory
  • Which DAX measures are slow — and why
  • Which relationships have excessive cardinality
  • Where the query plan is doing unnecessary work

Only after profiling do we implement fixes. The most impactful change in one model might be irrelevant in another. That's why generic advice doesn't cut it.

What You Get

  • Pre-optimisation baseline (model size, query times, report load times)
  • Root cause analysis report
  • Prioritised optimisation plan
  • Implemented optimisations (model restructuring, DAX rewrites, column removals)
  • Post-optimisation measurements and side-by-side comparison
  • Recommendations for ongoing performance management
  • Full documentation of every change made

Typical Outcomes

  • Model size: 30–70% smaller
  • Report load time: 50–90% faster
  • DAX query execution: 2–10x faster
  • Scheduled refresh time: significantly reduced

Tools & Technologies

  • DAX Studio (query profiling, execution plan analysis)
  • VertiPaq Analyzer (model memory analysis)
  • Power BI Performance Analyzer (visual-level diagnostics)
  • DAX (measure rewriting)
  • Power Query M (query folding, transformation optimisation)
  • Incremental refresh configuration
  • Aggregations and composite models

Who This Is For

  • Teams with Power BI reports that take more than three seconds to load
  • Organisations whose dataset refresh runs for hours
  • Companies hitting Power BI Premium or Fabric capacity limits
  • Projects where DAX measures have become inconsistent or impossible to maintain
  • Any team that has heard "Power BI is slow" from its users

Your data is waiting. Let's put it to work.

No pitch deck, no jargon. Just a straight conversation about your data, your goals, and what's realistically achievable.

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