Data Platform & Warehousing Services
Your teams can't make fast, confident decisions on scattered data. We design and build data platforms & warehouses that unify your data and give you a reliable, real-time source of truth.
Trusted by Enterprises in 30+ Countries
Most enterprises aren't short on data; they're short on data they can trust. Teams pull from three systems and get four different answers. Reports take days and still get challenged. We build data warehousing systems that fix that — consolidating your sources into a single, governed platform your teams can query, report on, and rely on.
OUR SERVICES
Data Warehousing Services We Deliver
Cloud Data Warehouse Setup
We architect and deploy cloud data warehouse solutions built for your query volume, reporting needs, and long-term growth.
Data Lake Architecture
We build governed data lakes that store structured and unstructured data without sacrificing access speed or data quality.
ETL Pipeline Development
We design and build ETL pipelines that move, transform, and load data reliably — so downstream teams always work with fresh, clean data.
Data Platform Migrations
We migrate your existing data warehouse or on-premise platform to a modern cloud data platform — with zero data loss and minimal downtime.
OUR SOLUTIONS
Our Data Warehousing Solutions
Snowflake & Databricks Implementation
Medallion Architecture
Setup
Plant Floor to Boardroom Data Flow
Claims & Policy Data Unification
Patient & Clinical Data Consolidation
Supply Chain Visibility Platform
OUR SERVICES
Building future-ready digital products & platforms
AI and Machine Learning
Core Capabilities:
- Machine Learning & Predictive AI
- Conversational AI
- Generative & Agentic AI
- Intelligent Automation
Data and Analytics
Core Capabilities:
- Data Engineering
- Data Warehousing
- Business Intelligence
- Advanced Analytics & Insights
Digital and Platform Modernization
Core Capabilities:
- Digital Transformation
- Legacy System Modernization
- Cloud & Platform Enablement
- System Integration
Software and Product Engineering
Core Capabilities:
- MVP Development
- End-to-end product development
- Custom software development
- Frontend & UX Engineering
OUR PROCESS
How We Implement Data Warehousing Solutions
Our Approach
We start by understanding what your data landscape looks like today — where data lives, how it flows, and where it breaks. This phase produces a clear picture of what needs to be built, migrated, or fixed before any platform work begins.
Key Activities:
- Audit existing data sources and pipelines
- Map data flows across systems
- Identify data quality gaps
- Define warehousing goals and KPIs
Our Approach
We design the data warehouse architecture based on your query patterns, team size, and reporting needs. Platform selection — Snowflake, Databricks, or a hybrid approach — is driven by what fits your workload, not what's trending.
Key Activities:
- Select cloud data warehousing platform
- Design schema and data models
- Define partitioning and storage strategy
- Plan for scalability and access control
Our Approach
We build and configure ETL pipelines that connect your source systems to the warehouse reliably. Every pipeline is built for observability — so your team can monitor data freshness and catch failures before they affect reporting.
Key Activities:
- Develop and configure ETL pipelines
- Integrate source systems and APIs
- Set up data validation checkpoints
- Implement pipeline monitoring and alerts
Our Approach
For platform migrations, we run source and target environments in parallel before cutover — validating data accuracy at each stage. We move at the pace your business allows, with rollback options in place at every step.
Key Activities:
- Run parallel validation across environments
- Migrate historical and live data in phases
- Verify row counts and data integrity
- Execute controlled cutover with rollback plan
Our Approach
After go-live, we stay close. As your business adds new data sources, expands reporting needs, or moves toward AI initiatives, we help you evolve the platform to keep up. Most clients don't need a full retainer — just a reliable team that knows their architecture and can step in when it matters.
Key Activities:
- Monitor pipeline health and data quality
- Resolve issues as they surface post-launch
- Add new data sources and integrations
- Evolve architecture as business needs to grow
Our Approach
We start by understanding what your data landscape looks like today — where data lives, how it flows, and where it breaks. This phase produces a clear picture of what needs to be built, migrated, or fixed before any platform work begins.
Key Activities:
- Audit existing data sources and pipelines
- Map data flows across systems
- Identify data quality gaps
- Define warehousing goals and KPIs
Our Approach
We design the data warehouse architecture based on your query patterns, team size, and reporting needs. Platform selection — Snowflake, Databricks, or a hybrid approach — is driven by what fits your workload, not what's trending.
Key Activities:
- Select cloud data warehousing platform
- Design schema and data models
- Define partitioning and storage strategy
- Plan for scalability and access control
Our Approach
We build and configure ETL pipelines that connect your source systems to the warehouse reliably. Every pipeline is built for observability — so your team can monitor data freshness and catch failures before they affect reporting.
Key Activities:
- Develop and configure ETL pipelines
- Integrate source systems and APIs
- Set up data validation checkpoints
- Implement pipeline monitoring and alerts
Our Approach
For platform migrations, we run source and target environments in parallel before cutover — validating data accuracy at each stage. We move at the pace your business allows, with rollback options in place at every step.
Key Activities:
- Run parallel validation across environments
- Migrate historical and live data in phases
- Verify row counts and data integrity
- Execute controlled cutover with rollback plan
Our Approach
After go-live, we stay close. As your business adds new data sources, expands reporting needs, or moves toward AI initiatives, we help you evolve the platform to keep up. Most clients don't need a full retainer — just a reliable team that knows their architecture and can step in when it matters.
Key Activities:
- Monitor pipeline health and data quality
- Resolve issues as they surface post-launch
- Add new data sources and integrations
- Evolve architecture as business needs to grow
Your Data Platform Should Work for You
Let's talk about building your enterprise data warehouse.
WHY IT MATTERS
Benefits of Data Warehousing
One Source of Truth
Faster Reporting Cycles
Lower Infrastructure Costs
AI-Ready Data Foundation
Governed Data Access
Reduced Pipeline Failures
Latest Case Studies
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We offered end-to-end development & integration of an interactive platform for carrier management.
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TESTIMONIALS
Businesses Worldwide Trust Classic Informatics
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★ ★ ★ ★ ★Their support helped us speed up development, expand global partnerships, and set up a cost-friendly cloud infrastructure for the future.
David McLean CEO, Hubbed -
★ ★ ★ ★ ★The API was deployed on schedule, collection revenue improved, and reporting got better. Their understanding of our requirements was exemplary.
Mohamed Tholley Standard Chartered Bank -
★ ★ ★ ★ ★Classic Informatics built and modernized our loan workflow platform, maintaining the same team across three years — critical for a product of this complexity.
Soren Scheibye Co-Founder, UdenomBanken -
★ ★ ★ ★ ★Everyone is professional, friendly, and diligent. Even in hectic times, work is always completed reliably — often after hours without complaint.
Daniel Hoffmann Founder, FAMILIARA GmbH -
★ ★ ★ ★ ★They delivered a seamless product with great code — organised, solution-oriented, and always willing to work through any problem.
David Englestien Director, Bloonaway -
★ ★ ★ ★ ★Always timely, highly communicative, and capable of taking on any kind and size of project — an unparalleled level of service.
Francesco De Conto Co-Founder, Kashew -
★ ★ ★ ★ ★Their skill set is unmatched — developers available for any requirement. We grew from 3 to 12 locations thanks to their work.
Software Manager, ParkCo Inc. -
★ ★ ★ ★ ★They're contributors and partners, not just vendors — bringing expertise and suggestions beyond the scope of work. Our product launch was a success.
Sonika Mehta Co-Founder, Zonka Feedback
PARTNER WITH US
Why Classic Informatics?
Value Beyond Code
Real-time data and modern systems give your teams the visibility to act.
Deep Tech Expertise
20+ years across legacy, data, and AI — the hard problems aren't new to us.
Built for Growth
We align every solution to your business goals, not just your tech stack.
Reliable Delivery
Expert teams who move fast, communicate clearly, and deliver on time.
AI-First Approach
Every solution we build is designed with AI in mind, from architecture to delivery.
Complete Transparency
You know what we're building, why, and what it costs — at every stage.
FAQS
Frequently Asked Questions
Ready to Build Your Data Platform?
Data warehouse solutions delivered across 30+ countries.