Power BI sales pipeline demo

A standout Power BI example surfaced this week showing a B2B sales pipeline dashboard that tracks deal performance, win rates, revenue drivers and client engagement—perfect for driver‑based forecasting. The post highlights decomposition and drill paths that make root causes visible to commercial leaders. (x.com)

The dashboard is published as a GitHub repository titled "Enterprise Sales Pipeline Analytics" by M1deTheAnalyst (Joshua Abiodun‑Bakare) and includes an uploaded PBIX file (Enterprise Sales Pipeline Dashboard.pbix) plus an Excel dataset (Enterprise Sales Pipeline Dataset.xlsx). (github.com)) KPI cards in the README list Revenue at €240.82M, Pipeline Value at €606.04M, Deal Volume of 11.75K, and Closed Deal Value of €416.67M with quarter‑over‑quarter and year‑over‑year deltas shown. (github.com)) The README documents a monthly pipeline line that starts at €32M in January, peaks at €70M in June, and ends at €41M in December, and ranks industries by contribution with Technology €179M, Financial Services €163M, and Retail & E‑commerce €62M. (github.com)) Product and rep detail in the repo shows top product deal volumes—Cloud Migration 2,143; Integration Services 1,992; Data Platform 1,943—and top rep deal values including Eva Pereira (€31M), Petra Ivanova (€18.5M) and Lukas Bianchi (€17.9M). (github.com)) Repository activity shows image uploads for each dashboard page plus the PBIX and dataset files in the main branch, with the repo receiving recent commits within hours of publishing. (github.com)) The report listing on ZoomCharts confirms use of Drill Down PRO custom visuals and notes the submission to the FP20 Analytics ZoomCharts Data Challenge #35 (February–March 2026), indicating the build leverages advanced drill‑down interactivity. (zoomcharts.com)) The README specifies drill‑down flows such as "Pipeline Value & Revenue by Industry (Drill‑down to Region)," and Power BI's Decomposition Tree (the native AI visual) supports ordered or AI‑suggested next‑level splits for root‑cause paths—features that enable tracing revenue drivers to specific industry, region, product, and rep combinations. (github.com))

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