Data Warehouse Consulting

A data warehouse consultant helps businesses plan, build, and manage effective data warehousing solutions. They assess your data environment, define a tailored data warehouse strategy, lead the data warehouse implementation, and ensure integration with existing systems.

Working alongside data engineers and business analysts, consultants ensure you gain maximum value from your data warehousing project, with a focus on scalability, data quality improvement and alignment with your business goals.

We offer end-to-end data warehouse services, including architecture planning, modernisation, cloud migration, data access strategy, data warehouse support and project management. Our data warehousing consultants provide deep expertise to optimise every stage, from design and implementation to training and ongoing support.

Modern businesses often prefer cloud resources for their data warehousing needs. Cloud data warehouse solutions offer scalability, lower upfront costs, fast deployment and easier integration with data lake platforms.

On-premises warehouses may offer more control over system operations and security protocols, but require significant infrastructure and are harder to scale. A dedicated team can help evaluate what’s best for your business.

Key steps include:

• Aligning with business goals and current data needs

• Evaluating all data sources (structured and unstructured)

• Selecting the right platform (e.g., Google Cloud, Azure, Snowflake)

• Building explicit data modelling and data transformation flows

• Incorporating data quality management and data security

• Enabling self-service reporting and advanced analytics

A successful data warehouse design balances technical performance with long-term scalability.

The cost of a data warehousing solution depends on the complexity of your organisational data, platform choice, team size and whether you're migrating from legacy systems. Cloud platforms usually offer more flexibility with usage-based pricing, while on-premises solutions demand higher upfront investments.

We recommend a discovery session to scope your data warehousing project and estimate costs accurately.

A complete data warehouse solution includes:

• Data Source Layer – where structured and unstructured data is collected from operational systems, CRMs, IoT devices, and more

• Data Staging Layer – where data undergoes data profiling, data transformation, and data quality checks

• Data Storage Layer – centralised storage, often cloud-based, for integrated data, historical data, and data marts

• Presentation Layer – data analytics tools and dashboards that enable real-time analytics, reporting, and self-service data access

This architecture supports scalable data warehouse operations and improved business performance.