BI architecture
Clear roles for source data, transformations, semantic models, reports, workspaces, and deployment.
BI & analytics
Power BI built as a decision system, not a collection of reports
Improve strategy, architecture, semantic models, DAX, report design, performance, governance, and release practices.
The problem
Power BI estates become difficult to trust and maintain when logic is repeated across files, ownership is unclear, and reports grow faster than the shared model beneath them.
Common signals
When this work becomes useful
- Reports disagree on important measures
- Models and refreshes are slow
- Workspace and deployment practices vary
- A reporting estate needs modernization or consolidation
Concrete output
What the engagement can produce
Reusable semantic layer
Measures, dimensions, security, and calculation logic organized for consistent use.
Decision-focused reports
Interfaces designed around review, exception, comparison, and follow-up instead of decoration.
Operating discipline
Requirements, testing, release, documentation, and ownership made repeatable.
Scope variants
Shape the engagement around the need
Power BI health check
Review architecture, models, DAX, refresh, performance, workspaces, governance, and adoption.
Report and model delivery
Build a governed semantic model and reporting experience for a defined business process.
BI modernization
Consolidate models and reports, improve deployment, and retire duplicated or fragile assets.
Delivery approach
From current state to clear ownership
Understand
Map the business need, current system, owners, constraints, and material failure modes.
Define
Agree on the first useful outcome, delivery boundary, evidence, and responsibilities.
Build
Implement in reviewable increments with validation close to the points where meaning changes.
Establish
Document, release, monitor, and leave the system with clear ownership and next decisions.
Technical context
Platforms and disciplines
- Power BI
- Microsoft Fabric
- DAX
- Power Query
- SQL
- Snowflake
- Row-level security
Engagement fit
Clear boundaries make better projects.
Often a good fit
- Finance and operations reporting teams
- Organizations scaling Power BI
- Teams using Power BI on Snowflake
- Leaders who need governed self-service
Probably not the right fit
- A decorative executive dashboard with no decision owner
- Copying unclear spreadsheet logic without review
- A report build with no refresh or maintenance path
Anonymized proof
Permadyn Analytics’ reporting experience spans healthcare operations, travel, multi-location performance, and finance and portfolio review, with emphasis on models, definitions, and maintainability.Explore representative work
Questions
What teams often ask first
Can you improve an existing report rather than rebuild it?
Yes. We determine whether the issue is report design, DAX, the semantic model, source queries, refresh, or the upstream data path before choosing the least disruptive fix.
Do you provide ongoing Power BI support?
Yes, through scoped business-hours administration, monitoring, enhancement, and enablement agreements.
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.