Solutions
Power BI Consulting Services
Power BI consulting services cover data modeling, DAX development, dashboard design, gateway and workspace administration, Microsoft Fabric migration, and user training. We fix slow reports, consolidate scattered spreadsheets into governed models, and build dashboards around the questions your business asks — not 47 charts because we can.
Inside the delivery
Inspect sources, refresh constraints, consumers and existing report logic. The flow below shows the main delivery stages and the evidence produced at each step.
Inspect sources, refresh constraints, consumers and existing report logic.
Output
Power BI workload and model assessment
Build relationships and DAX measures around agreed grain and business definitions.
Output
Semantic model and measure dictionary
Implement report pages, filters and drill paths with appropriate row-level access.
Output
Power BI reports and access configuration
Validate gateway connections, totals, refresh behavior and performance before workspace promotion.
Output
Refresh checks and deployment guide
Controls across the workflow
Before you commit
Overview
Programmatic delivers Power BI as part of a governed analytics system, not just a collection of reports. We design data connectivity, Power Query and dataflows, semantic models, DAX measures, dashboard experiences, row-level security, gateways, deployment practices, performance, and integration with Microsoft data platforms so reporting remains understandable as usage grows.
Capabilities
Select the work that addresses your constraint. Responsibilities and acceptance criteria are agreed before delivery.
Define workspaces, environments, source connectivity, refresh patterns, gateways, ownership, and deployment conventions around the organization rather than report-by-report decisions.
Create reusable models and measures so reports share consistent business definitions and calculations.
Use Power Query, dataflows, warehouse or lakehouse transformations at the appropriate layer instead of burying every business rule inside a report file.
Design pages around the decisions and workflows of each audience, with intentional hierarchy, drill paths, filters, and performance.
Control access and lifecycle through workspace permissions, row-level security, endorsed datasets or semantic models, naming, documentation, and release processes.
Profile slow models and reports, optimize DAX and model shape, and migrate legacy BI content without carrying every historical design problem forward.
Pricing
Scope depends on source readiness, model complexity, report count, access controls and refresh requirements. Licensing and platform charges are identified separately from engineering work.
Review a defined semantic model or report set and document correctness, refresh and performance findings.
Deliver an agreed set of models, measures and reports with reconciliation and access testing.
Agree coverage for refresh failures, model changes, report enhancements and workspace maintenance.
Integrations
Tools are chosen around your existing systems, access requirements and operating constraints.
Frequently asked questions
No. DAX cannot resolve missing or contradictory source facts by itself. We identify whether corrections belong upstream, in Power Query or in the semantic model and assign ownership accordingly.
It can include architecture, data connectivity, Power Query, dataflows, semantic modeling, DAX, dashboard design, gateways, security, governance, Fabric or Azure integration, performance tuning, migration, training, and ongoing support.
Yes. We can audit duplicated datasets, slow models, refresh failures, workspace sprawl, inconsistent DAX, security, gateway configuration, and report usability, then improve the highest-impact areas without rebuilding everything.
Light report-specific shaping can fit Power Query, while shared business transformations, large-volume processing, and logic reused across tools are usually better governed upstream. We choose the layer based on reuse, scale, ownership, and performance.
Yes. Reusable semantic models help keep dimensions, relationships, security, and measures consistent across teams and reduce duplicated logic.
We inspect model design, relationships, DAX, cardinality, source queries, refresh patterns, visual queries, data volume, DirectQuery or Import choices, and capacity behavior before deciding which optimization matters.
Yes. We can design and test row-level security and related access patterns around business roles, identity sources, workspace permissions, and the semantic model.
Yes. We inventory reports and metrics, identify what should be retained or retired, recreate governed models, validate calculations and access, and move users in controlled phases rather than copying every legacy artifact.
PBIX or model access, source connections, workspace structure, licensing, metric definitions and existing gateway configuration.
The agreed delivery includes refresh checks and deployment guide. Validate gateway connections, totals, refresh behavior and performance before workspace promotion.
We review the available inputs before estimating: PBIX or model access, source connections, workspace structure, licensing, metric definitions and existing gateway configuration. The proposal identifies dependencies, review milestones and excluded work; the scope determines the schedule.
Related
Start a conversation
Share your current situation and the constraint you need to resolve. We will use the discovery inputs above to define a practical scope for Power BI Consulting Services.