Data Architecture and Strategy
Architecture decisions made in year one determine what is possible in year three.
The data foundation beneath your analytics and AI investments is either an asset or a constraint. We design architectures that scale with your business, support your most ambitious use cases, and do not need to be rebuilt eighteen months after they are deployed.
Problem recognition
The most common signs your data architecture is holding you back.
Every team has a different version of the numbers
Revenue figures from finance do not match the numbers in the sales dashboard. The marketing team has their own spreadsheet. When leadership asks for a single figure, someone has to spend a day reconciling three sources. This is not a reporting problem. It is an architecture problem.
Your reporting runs on manual effort
Someone pulls data from three systems, pastes it into a template, and emails it out every Monday. By the time it arrives, it is already out of date. The information exists. The infrastructure to deliver it automatically does not.
Nobody trusts the dashboards
Teams maintain shadow spreadsheets because they have lost confidence in the official numbers. Trust in data is not a cultural problem. It is an engineering problem. It is fixed at the architecture level.
Data science projects cannot get off the ground
Your data science team spends 80% of their time preparing data. The remaining 20% is not enough to build anything that runs in production. The bottleneck is not talent. It is the foundation beneath the talent.
Scaling is breaking things
The architecture that worked at your previous data volumes is failing at current volumes. Queries are slow. Pipelines are unreliable. The system was never designed to handle where the business is today, let alone where it is going.
How it fits together
Modern data architecture. Layer by layer.
Every layer serves a purpose. Every decision affects every layer above it.
01
Sources
ERP, CRM, TMS, POS, APIs, flat files, streaming events — every system your business runs on.
Salesforce · SAP · Shopify · custom APIs
02
Ingestion
Automated, reliable movement of data from source systems into your platform on the schedule your business requires.
Fivetran · Airbyte · Kafka · custom connectors
03
Storage
A scalable, cost-efficient warehouse or lakehouse that stores your data in a form that supports both analytical queries and AI workloads.
Snowflake · BigQuery · Redshift · Delta Lake · Iceberg
04
Transformation
Automated transformation of raw data into clean, governed, consistently-defined datasets every downstream system can trust.
dbt · Spark · SQL · semantic layer
05
Serving
Data products, APIs, and semantic layers that deliver the right data to the right system — dashboards, ML models, and operational applications.
dbt Semantic Layer · Cube · data APIs
06
Consumption
The dashboards, reports, ML models, and AI systems your teams actually use to make decisions.
Power BI · Tableau · Looker · custom applications
Capabilities
What we deliver.
Data Strategy and Roadmapping
A prioritised plan that connects your data investments directly to business outcomes. With milestones your team can execute against and metrics that tell you whether the investment is working.
Data Governance and Quality Frameworks
Clear ownership of every data asset. Consistent quality standards. The access controls and lineage tracking that let your leadership trust the numbers at board level.
Modern Architecture Design
The right architecture for where your business is going. Not a generic template. A deliberate design that accounts for your data volumes, your query patterns, your team structure, and your budget.
Cloud and Digital Transformation
Migration planning and execution across the three major cloud platforms. Assessed, sequenced, and delivered without disrupting the operations your current systems are running.
Tools and platforms we work with
Most data engagements start with a conversation about a specific problem.
Tell us what yours is. We will tell you honestly whether we are the right team to solve it.
We respond within 24 hours.