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Service

BI & Data Warehousing

Schema design, ETL and reporting built around the decisions the business actually makes — with query performance tuned so nobody stops trusting the dashboard.

Data-driven decision-making depends on data you can actually reach and trust. We design, develop and implement business intelligence and data warehousing solutions that collect, store and analyse your data so it produces insight rather than noise. Our team has built these systems across industries, and we tune them so that reports return fast enough that people keep using them.

What this covers

  • Data warehouse design and normalisation
  • ETL and ELT pipeline engineering
  • Executive dashboards and self-serve reporting
  • Query optimisation and indexing strategy
  • Real-time analytics and event streaming

Our bi & data warehousing process

  1. 01

    Requirement gathering

    We work with you to understand the business questions and identify which data sources actually answer them.

  2. 02

    Data modelling

    A data model designed around your needs and tuned for the performance your reporting requires.

  3. 03

    ETL development

    Custom extract, transform and load processes that collect, clean and store your data reliably.

  4. 04

    Data warehousing

    A warehouse that makes your data straightforward to store, manage and analyse.

  5. 05

    BI development

    Dashboards and reports built so the analysis people need is the analysis they can reach.

  6. 06

    BI deployment

    Deployment into your environment, integrating with the systems your teams already use.

Benefits of our bi & data warehousing

Improved decision making

Insight drawn from your own data, delivered where decisions are actually made.

Increased efficiency

Automated collection, cleaning and storage handles large volumes at a fraction of the manual cost.

Competitive advantage

Knowing sooner than your competitors is a durable advantage.

Access to expertise

Engineers who have designed warehouses that stay fast as the data grows.

Scalability

Architecture that keeps performing as data volume increases.

Technology stack

42 technologies across 6 areas

Warehouses

PostgreSQLBigQuerySnowflakeAmazon RedshiftAzure SynapseClickHouseDatabricks

ETL / ELT

dbtApache AirflowFivetranTalendAWS GlueAzure Data FactoryDagsterPentaho

BI & dashboards

Power BILooker StudioTableauMetabaseSupersetGrafanaQlik Sense

Streaming

Apache KafkaKinesisApache SparkFlinkDebeziumEvent Hubs

Modelling

Star schemaSnowflake schemaData VaultKimball methodologySlowly changing dimensionsPartitioningMaterialised views

Languages

SQLPythonPL/pgSQLDAXMDXPandasPySpark