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Enterprise Data Architecture & Analytics Solutions integrate companies' scattered data sources into a single, unified structure, creating a reliable, consistent, and accessible flow of information. We accelerate corporate decision-making processes, increase operational insight, and empower business units with robust reporting capabilities through modern infrastructures such as data warehouses, data lakes, real-time data processing, and analytics platforms. This enables organizations to leverage data as a strategic asset, achieving a more predictable, measurable, and competitive advantage-creating structure.
We build modern data architectures with data warehouses, data lakes, ETL/ELT processes, and integrated data models.
We design infrastructures that process high-volume data in real time using technologies such as Kafka, Spark, and Flink.
We create analytical models, dashboards, and KPI-focused reporting solutions using BI tools (Power BI, Tableau, Looker).
We develop enterprise MDM processes that ensure data consistency, cleanliness, and integrity.
We design data governance models that comply with GDPR and corporate data policies.
We integrate predictive models, data science processes, and ML pipelines with internal systems.