01Connect the right sources.
Design the flow from source systems to reporting. We work with SQL Server and Azure SQL to bring data together and prepare it for analytics and applications.
- Data integration and repeatable import processes
- SQL development and stored procedures
- Data warehouses and reporting datasets
02Understand the quality of the data.
Make checks and reconciliations part of the reporting process. Work through differences between sources and agree the definitions behind the measures.
- Data validation and reconciliation
- Consistent reporting definitions
- Investigation of source and transformation issues
03Make the logic visible.
Document how fields are defined and where they come from. Our work with metadata and data dictionaries helps teams explore source mappings and understand transformation rules.
- Field definitions and data dictionaries
- Source mappings and documented lineage
- Tools for exploring models and metadata
04Leave a foundation you can build on.
Keep models and development work understandable as your needs change. Combine documentation and handover with an agreed approach to further development and support.
- Maintainable SQL and model structures
- Version-controlled development
- Technical documentation and handover