Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
Set up your data sources by creating a new Parabola flow and connecting both your Amazon Seller Central account and your Snowflake warehouse. This creates your integration foundation.Select the specific data you want to integrate — settlement reports, orders, SKUs, and fees from Amazon; analytics tables and business datasets from Snowflake. Configure any necessary filters or parameters.Clean, organize, and transform your data. Standardize field names, flatten multi-line orders, split out fees, and normalize SKUs. Use AI-powered transforms to resolve naming inconsistencies and automate joins.Apply any additional processing needed, such as reconciling Amazon payouts against Snowflake financial records, mapping returns/refunds into revenue recognition tables, or blending ASC sales with other e-commerce sources already stored in Snowflake.Generate your results by previewing the integrated data and running your automated flow. Once set up, your Snowflake warehouse will refresh with the latest Amazon data — no more CSV downloads or brittle scripts See Parabola in action Practical use cases and examples
Centralizing e-commerce data for BI
Push Amazon Seller Central reports into Snowflake to create a unified source of truth. Unlock advanced SQL queries and dashboards for revenue, returns, and profitability.
Automating payout reconciliation
Match Amazon disbursements with transaction-level detail in Snowflake. Automate reconciliation of fees, commissions, and refunds without manual spreadsheets.
Unified reporting across sales channels
Combine ASC order and fee data with Shopify, ERP, or marketing data already in Snowflake. Build cross-channel dashboards to understand performance holistically.