Build on dependable data

Connected sources.
Trusted foundations.

We build data platforms that bring information from different sources together, creating dependable foundations for reporting, analytics and applications. Our development framework gives each solution a clear, consistent structure, making it easier to understand, maintain and extend as your needs change.

Discuss your project
  • SQL Server
  • T-SQL
  • Azure SQL
  • Azure SQL elastic pools
  • Azure Synapse Analytics
  • Azure Data Factory

How we can help.

01

Bring structure to development.

Our approach uses a development framework to give the warehouse a consistent structure. Clear development patterns help make the work easier to review, test and maintain, and provide a foundation for adding new data sources and reporting requirements.

  • Consistent development patterns
  • Easier review, testing and maintenance
  • Clearer handover and ongoing support
  • A foundation for future changes
02

Build the warehouse around your needs.

Bring your source data into a warehouse designed for the reporting and applications it needs to support. We work with SQL Server, Azure SQL and Azure Synapse Analytics, selecting the approach around your existing systems and requirements.

  • Data warehouse design and development
  • SQL development and stored procedures
  • Reporting datasets and analytical models
  • Azure SQL and elastic pools
03

Bring different sources together.

Bring information from databases, different file formats and other source systems into a shared warehouse for reporting and analysis. Our experience includes extracting data from MySQL and MariaDB, alongside many other sources. We assess the connections and preparation needed, then build repeatable pipelines with documented transformations.

  • Database and file-based data integration
  • Source database extraction, including MySQL and MariaDB
  • Repeatable imports with Azure Data Factory and SQL
  • Documented transformations and source mappings
04

Understand 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
05

Make 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
06

Leave 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

Let’s make more
of your data.

Tell us which systems and reports you need to connect, or where the numbers stop making sense. We’ll discuss the sources, priorities and a practical scope for the work.

info@clikhealthsolutions.co.uk