Data Warehouse Strategy for Growing Malta Enterprises

Every enterprise generates vast amounts of data across its operational systems — transactions, customer interactions, financial records, operational metrics. But data spread across disconnected systems in different formats is not intelligence. A data warehouse consolidates data from across your enterprise into a structured, query-optimised repository that enables the analytical reporting, trend analysis, and KPI monitoring that drives informed strategic decisions.

The architecture decision starts with understanding your analytical requirements. A traditional data warehouse with dimensional modelling (star schema) remains the best approach for structured analytical reporting and BI dashboards. A data lake approach suits organisations that need to analyse unstructured or semi-structured data alongside traditional records. A lakehouse architecture, available through platforms like Azure Synapse, combines both capabilities.

For Malta enterprises in financial services, insurance, and public sector, data warehouse projects must also address data governance: who can access what data, how long it is retained, how it is anonymised for analytical use, and how cross-border data transfer regulations affect your architecture. redskios designs data warehouse solutions that deliver analytical value while respecting the compliance frameworks that govern your data.