Data & Analytics
Turn fragmented enterprise data into unified, actionable intelligence.
Cydez builds enterprise data platforms that consolidate disparate data sources — ERPs, CRMs, operational systems, IoT feeds — into governed, queryable data assets. Our practice spans data lake architecture, ETL/ELT pipeline development, semantic layer design, dashboard engineering, and self-service analytics enablement. We work across Oracle Analytics Cloud, Power BI, Databricks, and custom solutions on OCI and AWS.
Data Discovery & Assessment
We audit your existing data landscape — sources, quality, governance maturity, and analytical requirements — before designing any architecture.
Architecture & Pipeline Design
Data lake/warehouse architecture, ingestion patterns (batch, CDC, streaming), transformation logic, and semantic layer design aligned with your reporting needs.
Dashboard Development & Testing
Dashboard prototyping, iterative design with stakeholders, performance tuning, and UAT with real data across all target user groups.
Enablement & Managed Services
Self-service training, documentation, admin handover, and optional managed services with SLA-backed support and continuous improvement.
- Enterprise data lake and data warehouse architecture (OCI, AWS, Azure)
- ETL/ELT pipeline development with OCI Data Integration, Azure Data Factory, and custom Python
- Real-time data streaming with OCI Streaming, Kafka, and Azure Event Hubs
- Oracle Analytics Cloud (OAC) dashboard design and deployment
- Power BI Premium workspace design, DAX optimisation, and governance
- Databricks lakehouse architecture with Delta Lake and Unity Catalog
- Self-service analytics enablement and NLQ (Natural Language Query) configuration
- Data governance, cataloguing, and lineage with OCI Data Catalog and Databricks Unity Catalog
Interested in Data & Analytics?
Let's discuss your requirements. We'll scope your project, recommend an approach, and provide a clear cost estimate — no obligation.
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