ecommerce-data-warehouse

What problem does it solve?

This Skill solves the problem of fragmented and insufficient e-commerce data by guiding users through building a centralized data warehouse. This enables deeper analytics and reporting beyond the capabilities of individual platforms.

Core Features & Use Cases

• Data Centralization: Integrates data from various e-commerce platforms (Shopify, WooCommerce, BigCommerce) and other sources into a single repository.
• Schema Design: Provides guidance on building star-schema tables optimized for analytics.
• ETL Pipelines: Details methods for extracting and loading data into cloud data warehouses like BigQuery, Snowflake, or Redshift.
• Transformation with dbt: Guides users on using dbt for transforming raw data into analytics-ready models.
• BI Tool Integration: Facilitates connecting visualization tools like Looker Studio, Metabase, or Tableau.
• Use Case: A growing e-commerce business needs to understand customer lifetime value across multiple sales channels and marketing campaigns. This Skill helps them build a data warehouse to combine sales, marketing, and customer data for comprehensive analysis.

Quick Start

Use the ecommerce-data-warehouse skill to set up a BigQuery data warehouse for your Shopify store.