Connect BigCommerce with Microsoft Power BI to consolidate store, marketing, ERP, CRM, and analytics data into modeled datasets and KPI dashboards your team can trust.
• BigCommerce entities such as orders, customers, products, transactions, and refunds are extracted via API and landed into a centralized dataset for Power BI consumption.
• Incremental loads capture deltas based on updated timestamps, while periodic full refreshes reconcile edge cases such as late refunds, cancellations, and edits.
• Source systems such as ad platforms, email tools, GA4, ERP, and CRM are ingested into the same warehouse layer and conformed to shared dimensions (date, channel, customer, product).
• Transformations apply consistent definitions for core metrics (gross sales, net sales, taxes, discounts, shipping, returns) and persist them as modeled tables for Power BI.
• Identifiers are mapped across sources (order ID, customer ID/email, SKU, campaign parameters) with join rules and deduplication handling cross-tool overlaps.
• Data quality checks flag missing keys, currency/locale mismatches, and schema changes, with load status and errors logged for monitoring.
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We extract BigCommerce orders, products, customers, and refunds into a warehouse, model the dataset, and publish Power BI dashboards with consistent KPI definitions.
Yes – we unify BigCommerce with platforms like Google Ads, Meta, Klaviyo, ERP, CRM, and GA4, then build a single semantic model so metrics match across teams.
Most setups include revenue net of refunds, taxes, and shipping, AOV, conversion, product and category performance, inventory signals, customer cohorts, and channel attribution inputs.
Yes – we set up incremental loads and refresh schedules so dashboards stay current without reprocessing full history every time.
Yes – we model multiple storefronts and currencies into one Power BI dataset with clear store-level filters and standardized KPI logic.










