Dashboards and semantic models that are fast, secure and trusted.
Trusted by
§ Signs
Our Power BI consulting services help teams build reports people use and numbers they trust. As a Microsoft partner, we develop Power BI dashboards and reports, design semantic models with star schemas, and optimize DAX and Power Query so reports stay fast. We choose between Direct Lake, DirectQuery and Import for each model, apply row-level security, and manage workspaces and deployment pipelines. From enterprise reporting and KPI dashboards to embedded analytics, we connect Power BI to Snowflake, Databricks, Microsoft Fabric and Azure so reports run on governed data.
Power BI is easy to start with. Keeping it fast, trusted and secure as usage grows takes deliberate design.
Visuals take seconds to load and scheduled refreshes fail or time out.
Each report has its own dataset, and two dashboards show different revenue for the same month.
Users export data to spreadsheets to do the analysis the report should already answer.
It is unclear whether you need Pro, Premium Per User or Fabric capacity, or what each one costs at your size.
There is no development or test workspace, and no history of what changed.
Workspaces are open to everyone and row-level security is missing where it matters.
§ What we deliver
Choose an area to see the services in it.
Power BIPower BIDAXPower Query
Direct LakePower BI§ Proof
Featured case study
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§ Approach
We agree KPIs, audiences and data sources with the people who will use the reports.
You receive KPI definitions and report wireframes
We design star-schema semantic models and choose Direct Lake, DirectQuery or Import.
You receive Semantic model design
Reports and dashboards are built and reviewed with users in short iterations.
You receive Reviewed reports and dashboards
Row-level security, workspaces and deployment pipelines are configured.
You receive RLS roles and a deployment pipeline
DAX, Power Query and refreshes are tuned as data and usage grow.
You receive Performance review with fixes applied
We train report users and builders, publish short user guides and review usage after launch to see what to improve next.
You receive Training sessions, user guides and a usage review
§ Tech stack
Power BIDAXPower QueryMicrosoft FabricDirect Lake
Azure Synapse AnalyticsPower BI EmbeddedAzure DevOps§ Engagement models
A defined scope, timeline and deliverables, from design through go-live.
An agreed price for a clearly scoped implementation, such as a migration or a new warehouse.
Our engineers work under your contract, or as a subcontractor to consulting firms and system integrators.
Data engineers who join your team and work in your tools and processes.
Consultants and developers working remotely, with overlap in your working hours.
Architecture reviews, platform choices and design guidance for your own team.
Monitoring, incident handling and ongoing fixes for pipelines and databases in production.
A short, fixed-scope engagement to test an approach on your data or plan a migration.
§ FAQs
Usually, yes. We review the data model, DAX measures, Power Query steps and storage mode, then optimize the model and the queries behind the slowest visuals.
It depends on data size, freshness and source. Import is fastest for moderate volumes, DirectQuery keeps data in the source, and Direct Lake reads Delta tables in Microsoft Fabric without refreshes. We choose per model and optimize for it.
Yes. We implement row-level security (RLS) in the semantic model, mapped to your users or groups.
Yes. We integrate Power BI with Snowflake, Databricks, Microsoft Fabric and Azure.
Yes. We build embedded analytics so reports appear inside your applications with the right security.
It depends on how many people view reports, how you share them and data size. Small teams often use Pro, Premium Per User adds larger models and advanced features, and Fabric capacity makes sense once many viewers or Fabric workloads are involved. We model the options for your numbers.
Yes. We rebuild on shared semantic models instead of copying each report one to one, and move SSRS reports to Power BI paginated reports where pixel-perfect output is needed.
We save reports and models in the PBIP format, keep them in Git, and promote changes through deployment pipelines so every change is reviewed and reversible.
Yes. We run sessions for report users and for report builders, covering modeling, DAX basics and your own standards, using your data rather than generic samples.
Sufficient color contrast, alt text on visuals, a logical tab order, readable font sizes and no meaning carried by color alone.
§ In detail
Agreed with the people who use the reports, before anything is built.
Star schemas, a reusable DAX measure library and calculation groups that several reports can use.
Consistent layout, accessible colors, mobile layouts and clear navigation.
Row-level and object-level security, workspace roles and sensitivity labels.
PBIP files in Git and deployment pipelines from development to test to production.
Findings from Performance Analyzer, DAX Studio and VertiPaq Analyzer, with the fixes applied.
Business users see wireframes and early previews, so the finished report matches how they work.
Certified semantic models give analysts a trusted base to build their own reports on.
We review tenant settings, workspace standards and sharing rules with your admins.
After launch, we can take a monthly backlog of report changes and new measures.
Management accounts, cash flow and portfolio reporting with security by entity or desk.
Sales, stock and store performance, with row-level security by region and store.
Operational dashboards with access restricted by site and role, designed around HIPAA and state privacy rules.
Shipment status, on-time delivery and carrier performance, refreshed through the day.
§ Contact
Tell us which decisions your reports need to support.
