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WHAT WE DO

Data Engineering & Analytics for eCommerce — Turn Your Data Into a Growth Engine

Every modern eCommerce brand runs on data — but only a few actually use it to drive revenue, optimize operations, and make informed decisions. We help brands collect, process, unify, analyze, and visualize data across all systems: store, CRM, ERP, marketing, operations, finance, logistics & customer service.

Our Data Engineering & Analytics services transform scattered data into a single source of truth, enabling smarter decisions, automation, and long-term scalability.

USP bullets:

  • Full data engineering team
  • Brand data platforms & unified data lakes
  • Powerful ETL/ELT pipelines
  • Machine learning–ready architecture
  • BI dashboards for leadership teams
  • Integrations with Shopify, CRM, ERP, marketing tools & warehouses
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PAIN POINTS

Why eCommerce Brands Need Data Engineering & Analytics

Most brands struggle with:

  • Data living in disconnected systems

  • No unified analytics or dashboards

  • Manual reporting in spreadsheets

  • Inconsistent metrics across teams

  • Poor forecasting & weak decision-making

  • Lack of visibility into marketing performance

  • Hard to track profitability by product/region/channel

  • Slow operations due to missing data

  • No data governance or versioning

  • Challenges scaling into new regions or channels

Data chaos → bad decisions → lost revenue. Our job is to fix the chaos.

  • Data living in disconnected systems

  • No unified analytics or dashboards

  • Manual reporting in spreadsheets

  • Inconsistent metrics across teams

  • Poor forecasting & weak decision-making

  • Lack of visibility into marketing performance

  • Hard to track profitability by product/region/channel

  • Slow operations due to missing data

  • No data governance or versioning

  • Challenges scaling into new regions or channels

VALUE PROPOSITION

What Clean, Integrated, Trusted Data Gives Your Business

With a unified data ecosystem you get:

  • Stronger and faster decision-making

  • Real-time dashboards for management

  • Automated reporting (daily, weekly, monthly)

  • Improved forecasting accuracy

  • Lower operational costs

  • Clear visibility into profitability and performance

  • Data foundation ready for AI & machine learning

  • Higher marketing ROI

  • Scalable data architecture for long-term growth

Clean data is a strategic advantage. We help brands build it.

  • Stronger and faster decision-making

  • Real-time dashboards for management

  • Automated reporting (daily, weekly, monthly)

  • Improved forecasting accuracy

  • Lower operational costs

  • Clear visibility into profitability and performance

  • Data foundation ready for AI & machine learning

  • Higher marketing ROI

  • Scalable data architecture for long-term growth

USE CASES

Data Engineering & Analytics Use Cases for eCommerce

  • CAC & ROAS analysis

  • Attribution modeling

  • Customer segmentation

  • Subscription analytics

  • Campaign performance dashboards

  • Product profitability

  • Variant-level performance

  • Collection heatmaps

  • Inventory forecasting

  • Return & defect analytics

  • Inventory turnover

  • Warehouse performance

  • Reorder triggers

  • Supplier performance

  • Revenue & margin breakdown

  • Cash flow forecasts

  • Profitability dashboards

  • Cost of goods (COGS) modeling

  • Customer journey analytics

  • Ticket volumes & CSAT

  • Churn analysis

  • Retention cohorts

BUSINESS BENEFITS

How Data Engineering & Analytics Drive Revenue & Efficiency

★

Increase Revenue Through Data-Driven Decisions

Predict trends, optimize pricing, improve customer acquisition & retention.

★

Reduce Costs Through Automation

No more manual spreadsheets — everything updates automatically.

★

Improve Forecasting Accuracy

Better inventory planning reduces stockouts & overstocks.

★

Optimize Marketing Spend

Identify winners, drop waste, scale what works.

★

Align Teams Around a Single Source of Truth

Everyone sees the same numbers — no confusion.

★

Build a Foundation for AI & ML

Clean structured data → AI automation becomes easy.

★

Increase Revenue Through Data-Driven Decisions

Predict trends, optimize pricing, improve customer acquisition & retention.

★

Reduce Costs Through Automation

No more manual spreadsheets — everything updates automatically.

★

Improve Forecasting Accuracy

Better inventory planning reduces stockouts & overstocks.

★

Optimize Marketing Spend

Identify winners, drop waste, scale what works.

★

Align Teams Around a Single Source of Truth

Everyone sees the same numbers — no confusion.

★

Build a Foundation for AI & ML

Clean structured data → AI automation becomes easy.

OUR DATA STACK & TECHNOLOGY

Technology We Use to Build Data Platforms

*

Data Warehouses

  • ✓ BigQuery
  • ✓ Snowflake
  • ✓ Redshift
  • ✓ PostgreSQL
  • ✓ DuckDB
*

ETL/ELT Tools

  • ✓ Airbyte
  • ✓ Airflow
  • ✓ dbt
  • ✓ n8n
  • ✓ Fivetran
  • ✓ Custom Node.js/Python pipelines
*

BI & Dashboards

  • ✓ Looker Studio
  • ✓ Power BI
  • ✓ Metabase
  • ✓ Tableau
  • ✓ Superset
*

Cloud & Infrastructure

  • ✓ GCP
  • ✓ AWS
  • ✓ Azure
  • ✓ Hetzner
  • ✓ Cloudflare
*

Integrations

  • ✓ Shopify
  • ✓ WooCommerce
  • ✓ Magento
  • ✓ HubSpot
  • ✓ Zoho
  • ✓ Salesforce
  • ✓ ERP systems
  • ✓ PIM/DAM/OMS/WMS
  • ✓ Klaviyo & marketing tools
OUR PROCESS

How We Build Your Data Ecosystem

Data Audit & Strategy

Analyze all your systems, KPIs, metrics & data needs.

Step 1
Step 2

Architecture Design

We provide a complete data ecosystem: Warehouse, Pipelines, Models, Dashboards, Integrations, and Governance.

Data Platform Setup

We build high-performance architectures using Data Lakes, ETL/ELT pipelines, and strategic Data Models.

Step 3
Step 4

Dashboard Development

We design executive and operational dashboards for leadership and specialized departmental teams.

QA & Validation

We guarantee data integrity through high accuracy, metric consistency, and dashboard reliability.

Step 5
Step 6

Deployment

Live rollout + staff onboarding.

Ongoing Support

Monitoring, optimization, and new dashboards on demand.

Step 7

Data Audit & Strategy

Analyze all your systems, KPIs, metrics & data needs.
01

Architecture Design

We provide a complete data ecosystem: Warehouse, Pipelines, Models, Dashboards, Integrations, and Governance.
02

Data Platform Setup

We build high-performance architectures using Data Lakes, ETL/ELT pipelines, and strategic Data Models.
03

Dashboard Development

We design executive and operational dashboards for leadership and specialized departmental teams.
04

QA & Validation

We guarantee data integrity through high accuracy, metric consistency, and dashboard reliability.
05

Deployment

Live rollout + staff onboarding.
06

Ongoing Support

Monitoring, optimization, and new dashboards on demand.
07
WHY URICH

Why Brands Choose URich for Data Engineering & Analytics

  • Full in-house team: data engineers + analysts + ML experts

  • Deep understanding of eCommerce, D2C, beauty, fashion, supplements

  • Experience building data lakes & real-time pipelines

  • Strong integration with Shopify, CRM, ERP, marketing tools

  • End-to-end delivery: strategy → engineering → dashboards → insights

  • Ability to evolve into AI/ML automation

  • Fast delivery using modular architecture

  • Ongoing support & optimization

  • Accuracy, reliability & enterprise security

We don’t just visualize data — we build your entire data infrastructure.

  • Full in-house team: data engineers + analysts + ML experts

  • Deep understanding of eCommerce, D2C, beauty, fashion, supplements

  • Experience building data lakes & real-time pipelines

  • Strong integration with Shopify, CRM, ERP, marketing tools

  • End-to-end delivery: strategy → engineering → dashboards → insights

  • Ability to evolve into AI/ML automation

  • Fast delivery using modular architecture

  • Ongoing support & optimization

  • Accuracy, reliability & enterprise security

CASE STUDY

Case Study — Building a Full Data Platform for a Global Beauty Brand

case-image-pc

Challenge:

Data lived in Shopify, Magento, CRM, ERP, Excel, marketing tools — no unified analytics.

Solution:

  • Built a full data lake

  • Connected Shopify, CRM, ERP, Klaviyo, support systems

  • Automated ETL pipelines

  • Created dashboards for management

  • Built profitability, retention, and inventory models

Results:

  • +40% faster decision-making

  • -70% manual reporting

  • Unified metrics across all departments

  • 12+ automated dashboards

  • Foundation built for ML & AI systems

FAQ

Data Engineering & Analytics — FAQ

No — we can build scalable pipelines from day one.

Yes — including multi-region, multi-store setups.

4–12 weeks depending on complexity.

Yes — Looker, Power BI, Tableau, and others.

es — with recurring reporting, insights, and optimization.

Yes — we integrate all major platforms.

PAIN POINTS
VALUE PROPOSITION
WHAT WE DO
USE CASES
BUSINESS BENEFITS
OUR DATA STACK & TECHNOLOGY
OUR PROCESS
WHY URICH
CASE STUDY
FAQ
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CONTACT US

Ready to Turn Your Data Into a Powerful Revenue Engine?

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Let’s build a modern data architecture
that enables smarter, faster decisions.

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