A modern analytics platform should not require enterprise-scale data infrastructure. By combining serverless processing, low-cost storage and a focused reporting layer, Silver Analytics keeps the technology behind reporting lean - reducing infrastructure costs, technical overhead and unnecessary complexity while retaining a fully automated path from source systems to business-ready reporting.
Professional analytics does not require an enterprise-scale data platform.
Silver Analytics is designed around the reporting and analytics requirements of SMEs. The architecture provides the capabilities needed to deliver reliable management information without introducing infrastructure, platforms and technical complexity that the requirement does not need.
From source systems to business-ready reporting, the complete data flow is automated.
Data is automatically extracted, stored, transformed, validated and published for reporting. Dashboards and connected Excel files use the same prepared data, creating a consistent and repeatable process from operational systems through to management information.
Use infrastructure when it is needed rather than maintaining it when it is not.
Serverless processing allows computing resources to run when required and stop when processing is complete. A small number of managed cloud services keeps the underlying architecture lean, reducing infrastructure requirements, recurring costs and ongoing technical overhead.
Use expensive infrastructure where it creates value - and inexpensive infrastructure everywhere else.
Raw and intermediate data remains in economical storage and processing layers, while business-ready reporting data is published to the data warehouse. This keeps infrastructure consumption low behind the scenes without compromising the reporting experience for business users.
Start with the infrastructure you need today and expand as requirements evolve.
The architecture provides a lean foundation for defined reporting and analytics requirements while remaining flexible enough to accommodate additional sources, business logic and analytical capabilities. Organisations can extend the solution incrementally without starting with a broader data platform than they need.
Modern technologies make professional analytics possible with significantly less infrastructure.
Silver Analytics combines serverless Google Cloud services with technologies such as Polars and Parquet for efficient processing and storage, while BigQuery provides the reporting layer. The result is fewer moving parts, low idle costs and a modern analytics architecture designed around the actual requirements of SMEs.
