Why Snowflake is the backbone of everything we do, and why that’s great news for our customers
There’s a question we get fairly often when talking to new clients: ‘Why Snowflake? Is it flexible enough for our needs, and what does it actually cost?’
It’s a fair question. And the honest answer is: because Snowflake plays a fundamental role in our proposition, and that’s a very deliberate choice.
Let us explain.
The problem with traditional data platform projects
Ask any CDO or data leader about their experience building a data warehouse from scratch, and you’ll hear a familiar story. Months of scoping. Months of implementation. A team of consultants. A complex infrastructure to manage. A platform that needs constant attention to stay healthy. And a bill, in time, money, and internal resource, that rarely matches the original estimate.
By the time the foundation is ready, the business has often moved on, priorities have shifted, and the ROI conversation has become uncomfortable.
We wanted to solve that. But to do it properly, we needed a platform we could trust completely.
How our platform works
We deliver a complete data platform: a web application for configuration and data input, combined with Snowflake as the core engine underneath. When we onboard a new customer, we connect to their data sources, extract and land that data in Snowflake, and process it into a fully structured data archive, keeping the complete history of your source data for traceability and auditability.
The key to making this fast and cost-effective is standardisation. We implement Snowflake the same way for every customer. The same architecture, the same patterns, the same automation. This isn’t a limitation. It’s a superpower. Because we’ve removed the variability that makes traditional projects slow and expensive, we can deliver the foundation of a customer’s data platform in less than one week.
Not months. One week.
And once it’s live, we manage it: data extractions, warehouse maintenance, pipeline monitoring, and platform updates. All included, for a single fixed monthly fee. Think about what that means in practice. For roughly the cost of one external contractor, you get a fully operational, professionally managed data platform, running on best-in-class infrastructure, with ongoing development included.
Why Snowflake makes this possible
We didn’t choose Snowflake because it was popular. We chose it because it solves a specific, critical problem for our model: it eliminates the need for continuous technical tweaking, tuning and configuring of our data infrastructure, freeing our engineers to focus entirely on what matters: managing the structure of the actual data.
This matters more than it sounds. Every hour our engineers spend managing servers, tuning performance, handling unexpected outages, or scaling capacity ahead of demand is an hour they’re not building value for customers. It’s also cost that has to go somewhere, usually into project fees that make data platforms feel out of reach for mid-market organisations.
Snowflake eliminates that overhead by design. It’s fully managed, cloud-native, and built for exactly the kind of workload we run. Storage and compute scale independently and automatically. Performance is consistent and predictable. And the platform’s reliability, backed by its 99.9% uptime SLA and cloud-native resilience, means that when our customers’ teams open their dashboards in the morning, the data is there.
That reliability is the quiet fundament of everything we do. It’s not always visible, but it’s always there, and our customers feel it every day.
There’s also the architecture itself. Snowflake’s separation of storage and compute means we can keep run costs predictable across customers regardless of workload variation. We’re not paying for headroom that isn’t being used, and we’re not bottlenecking when a pipeline runs heavy. That efficiency is what allows us to offer a fixed monthly fee with confidence, rather than usage-based pricing that spirals when data volumes grow.
What customers actually get
For a customer’s data team, the effect is transformative. Instead of spending their time maintaining pipelines, troubleshooting infrastructure, and managing a data warehouse that always seems to need attention, they get to focus on what they were hired to do.
If you have a data team, they can build directly on top of the data archive we deliver. Create data marts, develop data products, build dashboards, explore new use cases, or feed your AI and machine learning models with a solid, well-structured data foundation. The plumbing is handled. The fundament is solid. They can start from a running platform, not from a blank canvas.
And if you don’t have a large data team? You don’t need one to get started. We can take on the work that would otherwise sit with your internal team: building data marts, developing reports, and turning your data archive into actionable insights. You get enterprise-grade data infrastructure and the expertise to make use of it, from day one, without the enterprise-grade complexity or price tag.
Either way, you benefit from: → A structured data archive live within one week → Automated data extraction from all your source systems → A fully managed platform, no infrastructure to worry about → Predictable, fixed monthly costs with no hidden surprises → Room to grow, add data products, marts, and use cases on top as your needs evolve → Enterprise-grade security and compliance, built into Snowflake from the ground up
The bigger picture
We believe that a well-structured data foundation shouldn’t be a luxury reserved for organisations with large budgets and teams of data engineers. It should be accessible, predictable, and fast to get running.
Snowflake is what makes that belief actionable. It’s the platform we trust to be there, performing, scaling, and staying secure, every single day, for every one of our customers. And because we’ve built our entire operating model around it, we can offer something genuinely different: a professional data platform, delivered in a week, managed for a flat monthly fee, with no infrastructure headaches and no inflated project costs.
We’re not Snowflake advocates for the sake of it. We’re advocates because it’s the right tool for what we’re trying to do, and because our customers benefit directly from that choice every day.
If you’re evaluating your data strategy, or wondering whether your current setup is really working as hard as it should be, we’d love to have that conversation.
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