Power BI templates + modeling tips surfaced
A new 'Monthly KPI Tracker' Power BI template and practical modeling tips—'define your grain; separate facts from dimensions; model how the business thinks'—have been shared by practitioners aiming to upgrade dashboards from reports to executive tools. These posts offer ready visuals and data‑model rules you can adapt for driver‑based KPI trackers in revenue, margin and working‑capital packs. (x.com) (x.com)
Bas, host of the How to Power BI channel (DataTraining.io), published a walkthrough titled "The Monthly KPI Tracker You're Missing in Power BI" on March 23–24, 2026 that demos a ready-to-adopt tracker and accompanying visuals for month-by-month KPI narratives. (youtube.com) DataTraining lists a library of Power BI report templates and promotes a paid "Power BI Transformation" training program (28 hours, from $1,850 per person) that the video points viewers to for template downloads and implementation support. (datatraining.io) The three modeling maxims quoted — "define your grain; separate facts from dimensions; model how the business thinks" — map directly to established dimensional-design rules: declare the fact-table grain before choosing dimensions (Kimball), and implement star-schema fact/dimension separation as a performance and clarity best practice in Power BI/dataflows. (kimballgroup.com) For CPG FP&A use cases the tracker pattern shown is immediately actionable: link revenue to price×volume drivers, surface margin decomposition (revenue minus COGS and contribution margin bridges), and include a working-capital pack with DSO, DIO, DPO and Cash Conversion Cycle to trace cash impacts—driver-based planning frameworks from CFI/KPMG recommend embedding those operational drivers into forecasts. (corporatefinanceinstitute.com) An attempt to load the specific @JA_Olaoye X post at the supplied URL returned no public page in this crawl, but the checklist attributed to that post (grain + facts/dimensions + model business logic) mirrors both Kimball's "declare the grain" guidance and Microsoft's Power BI guidance to separate model layers from report layers for consistent, executive-grade datasets. (x.com)
