A reproducible baseline
Record priority interactions, refresh duration, data volume, filter state, access role, and relevant concurrency. Compare like-for-like workloads rather than one unusually fast run.
BI & analytics
Power BI performance optimization
Find and fix the cause of slow Power BI reports and refreshes. We trace the workload through visuals, DAX, models, source queries, gateways, and capacity, then verify changes against a measured baseline.
The problem
A slow report does not tell you which layer needs repair.
Common signals
When this work becomes useful
- Reports stall when users change filters or open detail views
- Refreshes miss reporting deadlines or fail as data grows
- Performance differs between Desktop and the published report
- Capacity costs rise without resolving the underlying delay
Concrete output
What the engagement can produce
A diagnosed bottleneck
Separate visual rendering and DAX time from model design, source queries, gateway or network delays, and shared capacity pressure. Document what the evidence does and does not establish.
Tested repairs
Change the responsible layer, such as a measure, relationship, transformation, source query, refresh pattern, or report page. Reconcile results so a faster answer is still the right answer.
A regression check and handoff
Repeat representative tests after publication. Leave the changes, remaining constraints, rollback approach, and monitoring responsibilities with your team.
Scope variants
Shape the engagement around the need
One report or model
Resolve a defined performance issue without assuming the entire reporting environment needs to be rebuilt.
Refresh and source diagnosis
Trace slow preparation and loading separately from interactive report performance, including Power Query and source-side execution.
A shared reporting environment
Review competing workloads, duplicated models, and capacity constraints across a prioritized set of reports. Wider coverage is scoped explicitly.
Delivery approach
From current state to clear ownership
Reproduce
Agree which interactions and deadlines matter, then capture the current behavior under representative conditions.
Isolate
Use the relevant diagnostics to identify where time is spent before changing code, architecture, or licensing.
Repair
Test targeted changes independently and verify calculations, filters, access, and refresh behavior.
Verify
Compare the released workload with the baseline and document how the client will detect future regressions.
Technical context
Platforms and disciplines
- Power BI
- DAX
- Power Query
- SQL
- Semantic models
- Performance Analyzer
- Gateways
- Microsoft Fabric capacity
- Snowflake
What we need to begin
- Access to representative reports and semantic models, or a guided review in your environment
- Approved query, refresh, gateway, and capacity evidence where relevant
- A report owner who can identify critical interactions and validate the numbers
- A safe test and release path; source or infrastructure changes need their owners' approval
Engagement fit
Clear boundaries make better projects.
Often a good fit
- Teams with slow Power BI reports or unreliable refresh deadlines
- Finance and operations owners whose reporting is already in use
- Organizations needing a diagnosis before buying more capacity
Probably not the right fit
- A guaranteed percentage improvement before examining the workload
- Changing production systems without permission or a release plan
- A broader security and governance review with no performance question; use a health check instead
Anonymized proof
Our anonymized healthcare and finance records describe reporting models, reconciliation, and refresh ownership. They are adjacent systems experience, not a claim of a measured performance improvement for your environment.Explore representative work
Questions
What teams often ask first
Can you fix a slow report without rebuilding it?
Often the right change is smaller than a rebuild. We first determine whether the delay comes from the report, model, calculations, source, refresh path, or infrastructure. The evidence determines the repair.
Does a slow refresh need the same fix as a slow report?
Not necessarily. Refresh prepares or loads data; report interactions query and display it. They can share constraints, but we measure them separately so one improvement does not conceal another problem.
Will we need more Fabric capacity?
Only if the workload evidence supports it. Inefficient queries, duplicated models, and poorly scheduled refreshes may need attention first. Capacity changes require an agreed cost and performance tradeoff.
What affects the scope and cost?
The number of affected models, reproducibility, access to diagnostics, upstream dependencies, and release restrictions. We agree the investigation and repair scope before making changes. No speed or savings target is guaranteed in advance.
Who maintains the changes afterward?
Your team receives the revised artifacts, test baseline, known limitations, and operating notes. Ongoing monitoring and improvement can be scoped separately; it is not an automatic support commitment.
Compare scope, prerequisites, investment guidance, and ownership before deciding.
The packaged engagements and delivery models make the commercial boundary visible without forcing every project into the same shape.