A Modern Analytics Architecture for a Tech Company in the Greek Market
A Modern Analytics Architecture for a tech company in the Greek Market.
By the end of this session, you will clearly understand how modern data teams design analytics platforms that scale and stay trusted.
This session walks through a real-world production analytics architecture of a tech company in the Greek market covering ingestion, transformation, orchestration, governance and BI showing how each layer contributes to delivering a true single source of truth.
The session is based on a full-stack analytics implementation built to improve workflow speed, data quality, development transparency and long-term scalability.
What You Will Learn
Architecture & Data Modeling
How modern layered architectures create reliable analytics
How to centralize business logic so dashboards stay simple and consistent
How to design reporting tables that BI tools can safely consume
Modern Data Stack Design
The role of ingestion, orchestration, transformation and BI in one cohesive system
How software engineering practices (version control, testing, CI/CD mindset) improve analytics reliability
How to design analytics workflows that are traceable from business request to dashboard
Governance, Collaboration & Scalability
How to implement analytics development using PR workflows and ticket traceability
How documentation, lineage and shared processes reduce knowledge silos
How to design analytics that scale across teams and use cases
Real-World Trade-Offs
Where modern architectures dramatically improve data trust and development speed
Where teams must manage cost, dependencies and complexity carefully
Who This Is For
Data Analysts, Analytics Engineers, BI Teams, Data Leaders
Outcome
You will leave with a clear blueprint of a modern analytics platform, practical design patterns you can reuse and a framework to evaluate whether your current architecture can scale with your business.