Modernizing a data platform does not simply mean moving a Data Warehouse to newer technology. It means rethinking the entire data pipeline to make it more integrated, transparent and ready to support reporting, analytics and new use cases.
The starting point: a governed data pipeline
In our approach, the Data Platform starts with data quality and consistency. The platform must connect sources, transformations, models and visualizations in a governed flow, avoiding duplication and fragmented logic across different tools.
This principle reflects the E-project model: from source to visualization, with shared KPIs and information that can be traced back to business processes.
Why Microsoft Fabric
Microsoft Fabric brings Data Engineering, Data Warehouse, analytics and Power BI closer together within a more integrated ecosystem. In modernization projects, this can reduce architectural fragmentation and simplify the management of the information pipeline.
Medallion Architecture: separating layers for better governance
In modernization projects, E-project uses a Medallion approach to progressively separate raw data, curated data and data prepared for analytical consumption. This makes transformations easier to understand and simplifies maintenance over time.
Three layers of value
- Raw / Bronze: Source ingestion and historical storage.
- Curated / Silver:Normalization, quality and integration.
- Business / Gold: Models and datasets designed for reporting, KPIs and analysis.
Modernization must start from use cases
A Data Platform creates value when it supports real business processes: Business Review, management control, sales, margins, budgeting, production and other decision-making areas. For this reason, the journey normally starts by mapping information needs, not simply by choosing a technology.
The role of E-project
E-project combines Data & Business Analytics expertise, process knowledge and integration capabilities. The goal is to support the client from AS-IS assessment through target architecture design and progressive adoption of the new platform.