eCommerce

Data Infrastructure: 90% Faster Reporting

A unified data pipeline and live dashboard that replaced a full day of manual reporting with real-time numbers.

◆ Maple & Co.☰ eCommerce brand◷ March 2025

ⓘ Illustrative example of a build we deliver. Company name anonymized; figures are representative of typical results.

How it works

Sources
ETL (n8n)
BigQuery
Looker dashboard

The Challenge

Weekly reporting meant stitching together exports from the store, ad platforms, and email by hand — a full day of copy-paste every week, and numbers nobody fully trusted.

The Solution

We built one pipeline that pulls every source into a warehouse automatically and a live dashboard on top, so reporting is always current.

How We Built It

Scheduled n8n workflows extract from each source, clean and de-duplicate the records, land them in BigQuery, and feed a Looker Studio dashboard.

  • Automated extraction from store, ads, and email platforms
  • Cleaning and de-duplication before warehousing
  • Central BigQuery warehouse for fast queries
  • Live Looker Studio dashboard with daily and weekly roll-ups

Results

Reporting went from a full day each week to near real-time — about 90% faster — and the team finally works from one trusted set of numbers.

Key Features

  • Automated multi-source ETL
  • Unified data warehouse
  • Live, always-current dashboards
  • Automated daily and weekly roll-ups

Technical Stack

n8n, Google BigQuery, Looker Studio, Shopify, and GA4 — connected via APIs.

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