6 Principles That Guide Our Approach to Building a Modern Snowflake Data Analytics Platform
1
Retail Centric
- Domain oriented
- Retail aware – metadata
- Data as a product – Retail Data Mesh
- Library of connectors
2
Pre-fabricated
- Open-Source x Hyperscaler
- Configurable Data journey paths
- Optimized Cost modelling
- Packaged connectors
3
Versatile
- Future Ready – Wide Spectrum of use cases – real time, AI/ ML
- Variety of data
- Varying speed lanes
4
Scale
- High Performance
- Extendable
- Flexible
- Storage
- Always On
5
Secure by Design
- 5 layers of security
- Encrypted – data at rest and motion
- User security
- Data privacy
6
Balanced Governance
- Accountability
- Federated
- Traceability
- Reliability
- Usability
- Self Service
- Democratized Data
The Core Values That Drive Us

Algo Mesh
Retail Intelligent Data Grid
- Out of the box data models to handle complexities of retail data around product, customer, store
- Intelligent, semantic layer with retail taxonomies built in
- Complex KPI derivations specific to Retail business pre-defined

Algo Lake
Pre-built data lake
- Reliable and scalable enterprise-wide Data Lake that supports analytics & business requirements
- A set of plug-n-play assets, interwoven to solve Data Lake specific needs
- Supports variety of data speed and data types
- Secure by Design

Algo Sync
Data orchestration tool
- Configurable Data journey paths
- Packaged connectors for variety of standard sources in Retail ecosystem
- End to end automation enables seamless orchestration
- Highly scalable and performance oriented architecture
Unlock Maximum Value From Your Data With Our Comprehensive Set of Snowflake Capabilities

Consulting Services
- Data Strategy & Snowflake implementation Roadmap Study
- Snowflake Architecture Advisory Services & Technology/Tools Selection
- Snowflake Platform Health Check/ Audit

Modernization
- Retail Intelligent – Snowflake Data Analytics Platform
- Snowflake Data Lake / Lakehouse Implementation
- Data On Cloud Modernization – migrate Data & Analytics workloads to Snowflake
- Legacy Data Migration Services using Snowflake
- Snowflake & Cloud platform Design, Configuration & Setup services

Managed services
- Snowflake Data Integration Factory – real time and batch data integration Framework for Snowflake
- Visualization COE Services – Dashboard and Report Development
- Data Science COE – Al/ML workloads on Snowflake
- Snowflake Data Management, Monitoring, and Support (LI/L2/13)
- Cloud Monitoring & Operations
Supported by Our Snowflake Practice With a Diverse Skill Mix of Experienced & Certified Professionals
1 Services
- Consulting
- Modernization
- Managed Services
2 Methodology
- Processes
- Frameworks
- Guidelines
3Tech Assets
- Algo Lake – Data Lake / Lakeshouse
- Algo Sync – ETL pipeline framework
- Retail Data Mesh
4 Tools/Templates
- Data Mapping templates
- Reconcilliattion Reports
- Data validation templates
5 Best Practices
- Industry learnings
- Implementation best practices
6 People
- Snowflake Engineers
- Training
- Certifications
7 Partnership
- 360 Degree partnership
- Cloud partnerships
8 Snow lab
- Innovations
- Experiment Ideas
- Prototyping


Proven With Customers Across Industries
Empowering Your Analytics Journey
Accelerate Your Data Analytics Journey With an Engineered-to-Scale Platform
Industry Case Studies
Explore our eCommerce personalization resources—best practices, case studies, videos, and more—to stay ahead of the curve.
Seamlessly Transform Your Results with Effortless Data Integrations
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50-60%XXX
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26%XXX
Talk to our Experts today
FAQs
For any additional questions or inquiries, feel free to reach out to our customer support. We’re here to assist you on your Snowflake journey!

in Sweden from 7 - 8 October 2025. Pre-book a meeting to connect with our
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