Power BI · Semantic models · RLS
Two dashboards, one metric, two different numbers.
That is not a visualisation problem. It is two semantic models disagreeing about what revenue means, and it is why finance stops trusting BI.
Scope
What we deliver
Executive Financial Dashboards
Real-time Profit & Loss, Balance Sheets, Cash Flow forecasting, and multi-entity consolidation reports.
Advanced DAX Data Modeling
Complex statistical measure calculations, time intelligence (YoY, QoQ), and high-throughput semantic model optimization.
Power BI Embedded (SaaS)
Embed white-labeled reporting portals directly into customer web applications, portals, and Dynamics 365 pages.
Row-Level Security (RLS)
Role-based data masking ensuring regional managers only view relevant branch and territory data.
On-Premises Data Gateways
Secure encrypted sync pipelines connecting legacy SQL, PostgreSQL, and SAP databases to cloud reports.
DirectLake & Real-Time Sync
Lightning-fast telemetry reports pulling directly from OneLake and Dataverse without data import delays.
Questions
Answered straight
We engineer star-schema dimensional models, aggregate tables, composite models, and optimized DAX measures avoiding expensive row-by-row iterators (FILTER/SUMX over unindexed columns) to deliver sub-second visual rendering.
Yes. Using Power BI Embedded and Azure service principals, we embed interactive telemetry dashboards directly into Dynamics 365 workspace tabs, customer portals, or custom React applications with Row-Level Security (RLS) enforcement.
A standard enterprise financial and operational reporting suite (Executive P&L, Cash Flow, AR/AP Aging, Inventory Aging) takes 3 to 6 weeks starting at $10,000, including automated gateway refresh pipelines and training.
We configure dynamic Row-Level Security (RLS) matching Entra ID user identities, ensuring regional sales managers and subsidiary CFOs only see data for their authorized cost centers.
Next
Bring us two dashboards that disagree.
Two numbers for one metric is a semantic model problem, and it is the reason finance quietly stops trusting BI. It is fixable.