Dashboard
Dealer group dashboard
Sales, finance, service, parts, and inventory from DMS + finance.
- Connected to DMS, CRM, parts/service, warranty, and finance systems
- Thresholds and owners
- Drill to operational detail
Industry analytics
Dealer groups fight when DMS repair orders, parts inventory, and OEM CRM leads disagree on rooftop and VIN/RO grain. We model service and parts in Power BI so advisors and P&Ls share one RO definition before the morning board.
Typical friction when CRM, ERP, and operational tools are reported separately.
What changes when those systems feed a governed Power BI model.
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Commercial considerations
Automotive organizations already manage the business in DMS, CRM, parts/service, warranty, and finance systems. The reporting problem is usually not “we need another chart”—it is that CRM, ERP, and operational extracts disagree on timing, filters, and owners before every meeting.
Sales, service, and F&I each report from the DMS differently—dealer-group packs are still Excel consolidations. Power BI for Automotive only works when those systems of record feed one governed semantic model with documented KPI definitions.
Power BI Analytics scopes the first release around the automotive decisions that currently wait on manual packs—then connects the right source systems, validates totals, and lands the report in a real operating cadence.
Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.
We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.
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Measure hours currently spent assembling automotive reporting packs, reconciling totals, and answering “which number is correct?”
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Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.
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Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.
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Confirm the intended audience actually uses the report in the meeting or process it was designed for.
Sales, service, and F&I each report from the DMS differently—dealer-group packs are still Excel consolidations. Power BI consulting connects these systems of record into one governed reporting model.
vehicle sales, F&I, inventory
leads, appointments, ownership
RO throughput, absorption
claims and recovery
gross per unit, incentives
Service and parts contribution to fixed-cost coverage.
Time inventory remains before sale from DMS.
Approved claims recovered from manufacturers.
Gross profit per vehicle sold.
Recommended dashboards
Power BI for Automotive patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.
Dashboard
Sales, finance, service, parts, and inventory from DMS + finance.
Dashboard
Workshop efficiency, retention, warranty, and parts.
Reporting only creates value when it lands in a real review rhythm.
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Buyer questions answered
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
Retire the Monday email of pasted workbooks: scheduled refresh and one pack finance can open without stitching tabs.
Data Warehouse Design starts by killing contradictory extracts—then publishes measures that data leaders, IT managers, and executives can defend from multiple operational systems and historical data.
Plant OEE and quality reporting from MES + ERP—without the night-shift Excel merge: connect ERP, MES, quality, maintenance, and inventory systems so leaders manage OEE, quality, cost, and on-time delivery.
Store margin and sell-through—POS, web, and inventory on one SKU day grain: connect POS, ecommerce, ERP inventory, merchandising, and loyalty CRM so leaders manage sales, margin, availability, and customer demand.
Fill rate and customer margin from ERP + WMS—by DC and ship-to: connect ERP, WMS, CRM, purchasing, and B2B ecommerce so leaders manage margin, inventory availability, supplier performance, and cash.
Talk through priorities, data sources, and a practical first Power BI release.