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
Talk to Data ConsultantsTHE 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

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
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

