Data Warehousing & Modelling

“Dimensional modelling structures raw data into
logical, standardised datasets that enable consistent analytics across environments.”

This is where your raw data becomes the backbone of smarter decisions. We build scalable, cloud-native warehouses on platforms like Snowflake, BigQuery or Redshift to consolidate your sources for easy access and analysis.

By following dimensional modelling and analytics engineering best practices, we use dbt to create transformations that are both modular and standardised, ensuring every step is fully tested, documented, and traceable across environments.

Experiencing Any Of These Data Roadblocks?

“Explore the solutions we propose to each of your data challenges, focused on removing complexity and keeping your data operations running smoothly”.

Immature Analytical Models

- ⚠️ Your data lacks standardised modelling approaches, limiting the ability to support time-based trends, nested aggregations, and advanced reporting logic.
- ✅️ We build star schema-based models featuring conformed dimensions, snapshots and multi-level hierarchies to provide robust trend analysis and consistent computation across reports.
- 🎯 Lightning-fast business insights
- 🎯 Lower maintenance and data processing costs

Redundant Data Workflows

- ⚠️ Your transformations rely on ad-hoc, redundant calculations scattered across multiple layers, with inconsistent logic and duplicated steps that make maintenance harder and results less reliable.
- ✅️ We consolidate transformation logic into modular layers (staging, intermediate, mart) and refactor duplicated computations into parameterised CTEs and macros to minimise compute and improve maintainability.
- 🎯 Lower maintenance and data processing costs

Monolithic Data Processing

- ⚠️ Your datasets are processed in monolithic full refreshes with repeated computations, and multi-level joins that force queries to scan large volumes of data unnecessarily.
- ✅️ We apply tailored materialisation strategies, leveraging incremental models with clustering and partitioning to minimise data scans, reduce compute overhead, and accelerate query execution across the pipeline.
- 🎯 Lower maintenance and data processing costs

Ready to re-organize your data for consistent
business logic?

Imagine a data warehouse where every metric is consistent and every report tells the same story. Built on clear, scalable foundations, we turn your complex datasets into reliable, governed, analytics-ready information.

With this clarity, your teams can make decisions faster, sharper and always grounded in the truth. Reach out to us, and let’s make your data work seamlessly.

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