Data Engineering

Ecommerce tailored Modern Enterprise Data Warehouse for AI Ready Datasets

Empowering omnichannel brands to unlock their data potential through robust, scalable, and integrated pipelines
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THE CHALLENGE

The Need for a Strong Data Foundation

Many businesses rely on analysts to build data warehouses, but these solutions often lack scalability. For businesses that depend on accurate and timely data, a robust foundation is essential

When is a strong data foundation critical?

  • Poor-quality data disrupts decision-making. 
  • Delayed infrastructure projects lead to manual work. 
  • Preparing for funding or an IPO. 
  • Reporting to boards reveals unclean data. 
  • Losing the original warehouse team leaves expertise gaps.

What’s needed for a strong foundation? 

  • People: Experienced engineers and architects.
  • Process: Scalable and efficient methodologies.
  • Skills: Expertise in data architecture and modeling.
THE SOLUTION

Saras Data Strategy Model for Ecommerce

The Saras Framework: Model AIM
A
I
M
Assess
  • Catalog use cases
  • Align with organizational goals
    Gap analysis -  information consumption
  • Data Ingestion
  • Data Modelling
  • Data Consumption
  • Data Governance
Implement
  • Build modern enterprise data warehouse
  • Break data silos
  • Establish single source of truth
  • Govern data
  • Strong data security and privacy
Monetize
  • Build BI and migrate users to EDW
  • Derive insights and unlock business opportunities
  • Run experiments and measure ROI
  • Maximize CapEx and minimize OpEx
  • Unlock the power of AI agents and models


Saras Enterprise Data Architecture

What Makes Saras Approach Special?

Word class data architecture and dimensional modelling tailored for Ecommerce data usecases
  • Realtime and Integrated Governance Monitoring setup
  • Data pipelines optimized for performance and cost efficient
  • Devops practices that ensures Data Deployment stability
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Logical Semantic Layers That Make Sense

  • Raw Data Layer
    Your unprocessed foundation—clean and ready.
  • Staging Layer
    Where cleansing and transformations happen.
  • Modeling Layer
    Business logic brought to life in data form.
  • Presentation Layer 
    Tailored for analysis and decision-making
See How It Works for Yourself

The Saras Edge

Scalability
Seamlessly accommodates growth
Readiness
Saras reference data architecture for ecommerce gives a head start to your data strategy roadmap by savings months of effort in architecture and design 
Efficiency
Simplifies retrieval and speeds up processes.

Data Governance That Got Your Back

Saras ensures your business data is accurate, accessible, secure, and private. Our platform integrates actions, processes, and technology to manage and protect data effectively throughout its lifecycle.
Data Availability - 
Make better, more timely decisions
  • Defined SLA’s 
  • Saras daton notifications 
  • Data latency alerts  
  • Source freshness alerts 
Data Quality - 
Manage risk more easily
  • Data anomaly detection 
  • Data contracts 
  • Integrated test cases 
  • Devops – Automated CI/CD with peer reviews and approvals 
  • Slack/Email based alerts for job and test failures 
Take Control of Infra Costs
  • Billing alerts  
  • Cost dashboard  
  • Storage cost optimizations with data partitioning and clustering  
  • Efficient data transformation pipelines with incremental loads 
Data Privacy & Security 
  • Data systems & architecture that adherence to compliance policies – GDPR, CCPA etc. 
  • Data masking 
  • RBAC 

Read some of our best Case Studies

$1.1M
Uplift in Incremental Sales
April 1, 2025
$1.1M Uplift in Incremental Sales by Saras Pulse
Show case
$900K
Incremental Rev
April 2, 2025
$900K Incremental Revenue from Reactivating High-Value Customers
Show case
20%
Increase in AOV
April 1, 2025
20% Increase in AOV and 7x faster GA4 Implementation
Show case
20%
Elevation in Paid Search
April 1, 2025
20% Elevation in Paid Search & 1.7 X Social Attribution
Show case

Are you ready to start your data journey with us?