Data Warehouse Solutions
Store smart, scale fast
Why invest in data warehouse solutions?
Messy data slows businesses down. Our data warehouse solutions cut through the noise—centralising your business data so it’s structured, accessible, and ready for action.
A data warehouse acts as your single source of truth, pulling data from marketing platforms, CRMs, and analytics tools into one place. The result?
- Clear, structured data – No more scattered reports or siloed insights.
- Faster reporting – Access real-time insights without the manual work.
- Stronger campaigns – Track ROI and segment audiences with precision.
- Scalability – Grow your data strategy alongside your business.
Your data warehousing partner
Google’s Universal Analytics shutdown proved just how crucial a reliable data warehousing solution is.
We’ve helped countless businesses navigate this shift—migrating to GA4, securing their historical data, and ensuring they can still track trends, measure long-term performance, and make smarter marketing decisions.
Marketing moves fast—your data strategy needs to keep up.
We don’t just store your data; we set you up with a scalable, long-term solution that adapts to new platforms, tools, and regulations.
With us, you’re not scrambling to save data when Google makes a change—you’re always ahead of it.
Not all data warehousing solutions are built for marketers, but ours are.
We understand the unique challenges of campaign tracking, attribution modelling, and cross-platform analysis. We’ll help you centralise and structure your data so you can make better, faster decisions that drive performance.
How we build smarter data warehouses
We start by getting to know your data inside out—what you’re tracking, where it’s stored, and how you use it.
Our goal? To design a data warehouse solution that fits your business, not the other way around. We’ll flag inefficiencies, map out improvements, and set clear objectives so you get a system that works now and scales for the future.
A solid data warehouse solution starts with smart architecture.
We design, test, and refine your setup to ensure seamless data flow, integration, and accessibility. This isn’t a ‘set and forget’ job—our iterative process means we fine-tune every element to align with your business needs.
Data warehousing isn’t just about storage—it’s about performance.
We continuously monitor and optimise your system to ensure accuracy, security, and efficiency.
From troubleshooting to scaling up, we'll keep your data infrastructure running at its best so you can focus on making smarter business decisions.
Explore our data services
Our recent data projects
Contiki
How our team of data experts improved Contiki's data insights, allowing them to optimise towards consumer transactions.
Robert Half
How we achieved a 138% increase in year-on-year organic traffic for Robert Half by combining technical content and outreach.
Travelex
How our competitor analysis revealed a content gap opportunity that created a 57% increase in site-wide organic traffic.
From our clients
Meet our data specialists
Our latest data articles
Frequently Asked Questions
What are data warehouse solutions?
Data warehouse solutions are tools or platforms that help businesses store, organise, and analyse massive amounts of data in one central location. Think of them as a super-organised digital filing system where all your business data — like customer insights, marketing performance, and sales reports — comes together.
Whether you're planning your next organic campaign or analysing ROI, a data warehouse keeps your insights accessible and actionable.
What is data warehousing in marketing?
A marketing data warehouse is a cloud-based storage system that allows teams to centralise data from multiple sources, such as marketing platforms, websites, analytics tools, and CRMs. This consolidated approach improves organisation, accessibility, and efficiency in managing and utilising marketing data.
Why is data warehousing important in marketing?
A comprehensive customer view is achieved through a marketing data warehouse consolidating data from various sources into one centralised location. Companies can develop effective strategies to meet customer needs by leveraging these insights. Additionally, this enables faster, cost-effective, and hassle-free generation of continuous demand.
What are the components of a data warehouse?
A data warehouse is like a well-oiled machine, and its components ensure everything runs smoothly. Here’s the breakdown:
- Data Sources: These are the origins of your data—think CRMs, social media platforms, transactional systems, or external APIs. It’s where the raw information comes from.
- ETL Process (Extract, Transform, Load): This is the pipeline that moves data from sources to the warehouse. It extracts raw data, transforms it into a usable format, and loads it into the warehouse.
- Data Storage: The central hub where all your organised and structured data lives. This is optimised for quick access and querying.
- Metadata: Think of metadata as the roadmap to your data warehouse. It describes what data is stored, where it’s located, and how it’s structured.
- Data Access Tools: These include reporting and visualisation tools that let you query and analyse data. Popular tools include Tableau, Power BI, and SQL-based interfaces.
What are the 3 advantages of data warehousing?
Some key advantages include establishing a robust and centralised repository for vast amounts of historical data, enhancing business processes and decision-making through actionable insights, boosting a business's overall return on investment (ROI), and elevating data quality.
What are examples of data warehouses?
Data warehouses come in various forms, from cloud-based solutions to on-premise platforms, depending on your business needs. Here are some popular examples:
- Amazon Redshift: A cloud-based, scalable data warehouse solution ideal for big data analytics and real-time insights.
- Google BigQuery: Google’s fully managed, serverless data warehouse designed for lightning-fast querying and analysis.
- Snowflake: A cloud-native warehouse that’s known for its flexibility, scalability, and ability to handle both structured and semi-structured data.
- Microsoft Azure Synapse Analytics: A powerful solution that integrates big data and data warehousing for seamless analytics in the Azure ecosystem.
- Oracle Autonomous Data Warehouse: An automated, cloud-based solution from Oracle, great for businesses looking for robust, hands-off data management.
