01. Infrastructure Audit
Before any new system is deployed, a comprehensive understanding of your existing data landscape is required. Organizations frequently suffer from "shadow IT" and disjointed data silos that lead to conflicting reporting.
Our audit process maps data lineage from source to destination, identifying structural weaknesses, latency issues, and security vulnerabilities.
- Source system extraction reliability
- Data warehouse compute efficiency
- ETL/ELT pipeline bottlenecks
- Storage cost optimization
02. Data Governance
Data without governance becomes a liability. We construct frameworks that establish clear ownership, quality standards, and access protocols across your organization.
This phase ensures compliance with regional regulations (GDPR, CCPA) while democratizing data access safely among internal teams.
03. Target Architecture Design
Based on the audit findings and business objectives, we design a modern, cloud-agnostic data architecture. Whether utilizing a Data Mesh, Data Fabric, or traditional Hub-and-Spoke model, the design is tailored to your operational velocity.
| Approach | Best Suited For | Scalability |
|---|---|---|
| Data Warehouse | Structured BI, Financial Reporting | High (Vertical) |
| Data Lakehouse | ML Models, Unstructured Data | Maximum (Horizontal) |
| Data Mesh | Decentralized Enterprise Teams | Organizational |
04. Execution Roadmap
A strategy is only as valuable as its execution. stratoscompasses provides a phased, actionable roadmap that prioritizes quick wins (to establish ROI) while building towards the long-term architectural vision.