The platforms behind modern data and analytics solutions
Cloud BI supports clients across Microsoft Fabric, Power BI, Azure and Databricks, helping align platform choices to architecture, delivery needs, and long-term capability.
Choosing the right platform approach
Cloud BI supports organisations working with Microsoft Fabric, Power BI, Azure, and Databricks. We help clients make practical use of these platforms based on their architecture, delivery needs, reporting requirements, and long-term platform direction.
Whether the goal is to modernise reporting, design a new data platform, improve engineering workflows, or strengthen governance, Cloud BI helps align technology choices to practical delivery and long-term capability.
Core Platforms We Support
Microsoft Fabric
Microsoft Fabric brings together data engineering, data integration, analytics, and reporting in a unified platform. Cloud BI helps organisations use Fabric to design modern data solutions that are more connected, scalable, and easier to manage.
To support faster implementation, Cloud BI has a ready-to-go data-driven ETL framework that helps accelerate Fabric delivery through repeatable ingestion and transformation patterns. This enables clients to reduce setup effort, improve consistency, and establish a stronger delivery foundation from the outset.
- Lakehouse architecture
- Data pipelines and orchestration
- Medallion design patterns
- Semantic models and reporting integration
- Workspace structure and governance
- Fabric solution planning and implementation
- Accelerated delivery using Cloud BI's ready-to-go data-driven ETL framework
Power BI
Power BI remains a core platform for reporting, analytics, and decision support. Cloud BI helps organisations improve the way Power BI is designed, governed, and used, from semantic modelling through to executive and operational reporting.
- Dashboard and reporting design
- Semantic model development
- KPI and metric alignment
- Reporting rationalisation and improvement
- Performance and maintainability reviews
- Governance and self-service enablement
Azure Data Platform
Azure provides a flexible foundation for building secure and scalable data platforms. Cloud BI supports architecture and integration across Azure services, including Azure Synapse, to help organisations design environments that support modern reporting, analytics, and data engineering workloads.
- Platform architecture and integration design
- Azure Synapse architecture and implementation support
- Data storage and processing patterns
- Secure and scalable environment planning
- Support for reporting and analytics workloads
- Roadmap and implementation guidance
Databricks
Databricks supports scalable data engineering, lakehouse design, and advanced analytics workloads. Cloud BI helps organisations use Databricks in a practical way, whether as part of a broader Azure environment or alongside reporting and analytics solutions.
- Lakehouse design and implementation
- Data engineering patterns
- Transformation frameworks
- Metadata-driven approaches
- Integration with reporting and analytics platforms
- Platform design for scalable data workloads
Aligning platforms to your architecture
Different organisations require different technology patterns depending on their size, maturity, existing investments, and delivery goals. Cloud BI helps clients assess where Microsoft Fabric, Power BI, Azure, and Databricks fit within their broader architecture and operating model.
Rather than forcing a single approach, Cloud BI focuses on selecting and designing platforms in a way that supports practical delivery, strong governance, and long-term usability.
How Cloud BI Supports Platform Decisions
Platform Assessments and Architecture Reviews
Target-State Design and Roadmap Planning
Reporting and Analytics Platform Selection
Integration and Delivery Planning
Governance and Operating Model Considerations
Need help selecting, designing, or improving your data platform?
Cloud BI supports organisations working across Microsoft Fabric, Power BI, Azure, and Databricks.