Case Study

E-commerce
Intelligence Dashboard

A real-time analytics dashboard connecting sales, customer and operational data to support faster decisions.

Role

Product / Delivery

Industry

E-commerce

Timeline

8-12 weeks

Stack

SQL, BigQuery, Looker, Shopify, Python

E-commerce intelligence dashboard preview

The Challenge

  • Data was fragmented across sales, marketing, customer support and operations systems.
  • Leadership needed a clear view of performance across channels, fulfillment and retention.
  • Limited visibility into real-time performance and operational efficiency.
  • Teams spent more time preparing reports than acting on them.

The Solution

  • Built a centralized analytics dashboard with a single source of truth across key business areas.
  • Unified KPIs and definitions to ensure consistency and comparability.
  • Near-real-time data pipeline for timely monitoring and alerts.
  • Clear, actionable insights tailored to business users.

Source Systems

Shopify, GA4, CRM, ERP, support & returns data.

Data Ingestion

Automated pipelines scheduled throughout the day.

Warehousing & Modeling

Cleaned, joined and structured data across business domains.

KPI Dashboard

Looker dashboard with interactive visuals and drill-downs.

Decision Making

Teams monitor trends and act with confidence.

Sales Overview

Track revenue, orders and conversion trends at a glance.

Order Trends

Monitor order volume, fulfillment and demand patterns over time.

Customer Insights

Understand retention, LTV, channel behavior and customer segments.

Channel Performance

Analyze performance by campaign, channel and traffic source.

Product Performance

Identify top products, inventory issues and conversion opportunities.

Returns & Operations

Monitor return rates, shipping quality and operational performance.

  • Defined success metrics and KPI framework with stakeholders.
  • Led discovery, requirements gathering and dashboard scope.
  • Designed data model and KPI logic in collaboration with the team.
  • Coordinated data integration and dashboard implementation.
  • Validated data quality and monitored performance after launch.
  • Led user training, documentation and stakeholder rollout.

80%

Faster reporting

Reporting time cut from days to hours.

45%

Reduction in manual work

Less spreadsheet work and easier stakeholder alignment.

30%

Increase in visibility

Better data coverage across teams and functions.

Better

Decision-making

Faster, clearer decisions across sales and operations.

SQLBigQueryLookerShopifyGoogle Analytics 4PythonData Studio

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