12 Departments - 1M+ Citizens Served
A state government agency needed to build a centralized analytics platform serving 12 state departments with secure data sharing capabilities and public-facing transparency dashboards. The platform needed to comply with open data mandates while protecting sensitive government operations data.
The state government faced unique public sector analytics challenges:
EPC Group implemented Power BI Premium with department workspaces and public embedding:
Designed Power BI Premium architecture with department workspaces, data classification, and embedding strategy.
Built automated data pipelines from 50+ source systems using Azure Data Factory and Power BI dataflows.
Onboarded 12 departments with customized workspace governance and training programs.
Developed public website with embedded Power BI reports for citizen access to government data.
Established Power BI Center of Excellence with standards, templates, and internal training.
"EPC Group helped us bring transparency to government operations. Citizens now have real-time access to public data, and our departments can make data-driven decisions. This platform is transformative."
Let's discuss how EPC Group can help transform your Power BI environment.
Schedule a ConsultationPower BI capacity sizing in 2026 starts with the F-SKU economics: F2 ($263/mo) covers small workloads with up to 4 GB of memory and roughly 30 reports, F4 ($526/mo) handles a typical mid-market deployment with semantic-model refresh windows under 10 minutes, and F64 ($5,257/mo) is the sweet spot for enterprises consuming Power BI alongside Microsoft Fabric data engineering, lakehouse storage, and real-time intelligence. Capacity right-sizing should be revisited every 90 days because Microsoft adjusts F-SKU memory allocations, paginated report performance, and Direct Lake mode availability with each major service update.
Direct Lake mode has changed the economics of enterprise Power BI in 2026: instead of importing data into Vertipaq, semantic models now query OneLake-resident Parquet files at near-Import-mode performance without the refresh-window cost. For a Fortune 500 finance organization migrating from a 30-minute Import-mode refresh, the equivalent Direct Lake model typically queries fact data in under 800 ms while removing the entire refresh-orchestration job from Azure Data Factory.
EPC Group covers this topic across the relevant engagement portfolio. Reach the firm at contact@epcgroup.net for a 30-minute architect conversation.