Connect commercetools to Power BI to consolidate store, marketing, ERP, CRM, and analytics data into a clean model, trusted KPIs, and dashboards your team can act on.
• commercetools data is extracted via the HTTP API, with incremental syncs based on change timestamps and message subscriptions where available.
• Entities such as products, categories, prices, customers, carts, orders, payments, returns, and promotions are mapped into analytics-friendly tables.
• Raw objects are normalized into a warehouse or lake layer, then transformed into a curated semantic model used by Power BI datasets.
• Keys and relationships are handled for cross-domain joins, for example order to customer, line items to product variants, and channels to inventory sources.
• Data quality rules flag missing identifiers, currency mismatches, and unexpected state transitions, with load logs kept for audit and reruns.
• Power BI refresh cycles query the modeled layer, and measures standardize KPIs like revenue, AOV, margin (when cost is provided), refunds, and conversion rate across reports.
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We extract commercetools data via APIs or exports, load it into a warehouse, then publish a governed Power BI semantic model for near real-time reporting.
Typical datasets include orders, returns, customers, products, inventory, prices, and promotions, modeled into KPIs like revenue, margin, and fulfillment SLAs.
Yes, we consolidate sources into one model, align IDs and attribution rules, and keep cross-channel KPIs consistent across teams and markets.
We design a single metrics layer with defined calculations, shared dimensions, and documented logic, so “revenue” means the same thing in every report.
scandiweb has delivered 575+ eCommerce BI dashboards and has 60+ certified GA4 and Adobe Analytics experts, so we can build reliable pipelines and decision-ready reporting at scale.














