Business Intelligence ServicesPower BI, Microsoft Fabric, and Managed Dashboards · Nationwide

Business intelligence engagements with On-Site Technology are scoped to your data sources, dashboard count, semantic-model complexity, and governance maturity, then quoted as a fixed fee. A two-week Discovery Sprint typically lands in the low five figures. A full Build Engagement, six to twelve weeks, typically lands in the mid five figures. A Managed BI program is a monthly retainer sized to dashboard volume and refresh cadence. Power BI Pro and Premium licensing is separate and we recommend the right SKU as part of discovery.

A first published dashboard is reachable in two weeks for a single source and a focused KPI set. A full Build Engagement covering a star-schema semantic model, four to six dashboards, dataflows, row-level security, and trained authors typically takes six to twelve weeks. The driver is rarely Power BI itself. It is data quality, source-system access, and stakeholder availability for KPI definition.

Power BI Pro is per-user and lets a user author and consume content in shared workspaces. Power BI Premium Per User adds AI features, paginated reports, larger model sizes, and 48-refresh-per-day capacity. Premium Capacity is the right call when consumers outnumber authors significantly, when you need Direct Lake on Microsoft Fabric, or when paginated reports and Copilot for Power BI are mandatory. We model the break-even and recommend the SKU during discovery.

No. Power BI can connect to operational sources and build a model using Power Query, and many programs start there. A warehouse becomes worth building when you have multiple source systems, historical retention requirements, performance constraints on large models, or analytics that need to survive source-system outages. Microsoft Fabric and OneLake collapse warehouse, lakehouse, and semantic model into one platform, which has changed the math on this question in 2026.

Power BI is the visualization and self-service analytics product. Microsoft Fabric is the unified data platform that Power BI now sits on, including OneLake storage, data factories, lakehouses, warehouses, real-time analytics, and Direct Lake mode. A team can run Power BI without Fabric, but Fabric is where end-to-end pipelines, governance, and AI agents live in 2026. Most new programs we ship use both.

Copilot for Power BI is the generative AI surface inside Power BI that creates report pages from natural language, summarizes visuals, suggests measures, and answers questions about a semantic model in plain English. It requires a properly modeled dataset and either Premium Per User or Premium Capacity licensing. We turn it on, scope it to the right datasets, and train authors and consumers as part of every Build Engagement.

We design dynamic row-level security on the semantic model using DAX rules tied to the user identity and security tables in the model. Common patterns: territory-based access for sales, entity-based access for finance consolidations, manager-only views for HR, and customer-tenant scoping for embedded scenarios. RLS is paired with Microsoft Purview sensitivity labels and workspace access controls so the security boundary survives any export.

You do. Reports and the semantic model live in your Power BI tenant under your workspace. We document the model, transformations, measures, and refresh schedule. On a Managed BI program we keep evolving and supporting the work. On a one-time Build Engagement, your authors take it forward with the enablement we deliver in phase five.

Yes. Power BI Embedded supports two scenarios: customer-facing analytics inside your SaaS or portal, and internal applications where BI is part of the experience. We design the embedding pattern, capacity sizing, tenant or workspace strategy, and the row-level security boundary that scopes data per customer. Embedded analytics is a Build Engagement specialty area for us.

Yes, and it is one of the most common starting points. We inventory the spreadsheets people actually rely on, design the semantic model that reproduces those numbers from system-of-record data, and rebuild the reports in Power BI with refresh, RLS, and version control. Excel does not go away. It connects to the model with Analyze in Excel and Power Pivot for power users.

Power BI Pro datasets support up to eight scheduled refreshes per day. Power BI Premium and Microsoft Fabric capacity support up to 48 per day. With Direct Lake on Fabric, dashboards read directly from OneLake and reflect new data on commit, with no scheduled refresh required. We recommend a cadence based on source-system load, decision velocity, and capacity cost during discovery.

Discovery, modeling, dashboard development, governance, and managed BI are all delivered remotely across the United States. Our deepest engineering capacity is in Northern New Jersey, the New York City metro, Pennsylvania, and South Florida, where we can also support on-site stakeholder workshops and executive readouts when the engagement calls for it. Most programs run fully remote.