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Finance shouldn’t live in copy-paste chaos. With Power BI, month-end packs, variance analysis, and management reporting move from manual assembly to governed, auto-refreshed analytics. At Dobbs Data, we’ve helped controllers and FP&A leaders shorten close cycles, standardize KPIs, and free up hours every week—without losing the flexibility they love in Excel. Related terms to know: FP&A dashboards, financial statements automation, incremental refresh, Paginated Reports, semantic model, RLS/OLS, Power Query, Microsoft Fabric, Direct Lake. Handy DAX patterns: A multi-entity services company came to Dobbs Data with 90+ Excel tabs for month-end. We centralized transforms in Dataflows, modeled a certified GL dataset (FactGL + DimAccount/Entity/Date/Currency/Scenario), and added paginated statements. RLS scoped data by entity; exec dashboards monitored Margin %, Opex vs Budget, Cash, and DSO. Result: reporting prep time dropped from 2 days to under 90 minutes, and variance explanations moved from “which file is right?” to “what changed and why?” Illustration: 6 analysts × 5 hours/week saved × 48 weeks ≈ 1,440 hours/year. At $70/hour fully loaded, that’s ≈ $100,800 reclaimed—often more than covering Pro/PPU/Premium plus setup. Dobbs Data can right-size capacity, separate Dev/Test/Prod, and monitor QPU/memory with the Capacity Metrics app so you don’t overspend. How long does an initial rollout take? With clear definitions and access, most teams ship a first automated pack in 4–8 weeks, then iterate to cover more entities and processes.