Data Architecture
We design how data flows from source to impact
Data architecture should be more than a technical design. It should intentionally shape how your data is created, managed, and shared from capture through to use across people, process, and technology. A strong architecture establishes the structures that make data a trusted and valued asset
Our work covers the full journey, from defining the data lifecycle, retention policies, governance, and change control to designing data platforms, models, and access patterns that enable self-service analytics, automation, and AI. This creates an adaptable architecture that supports your daily operations and manages data flow from source to impact.
We provide end-to-end data architecture services that help organisations treat data as a managed asset and deliver measurable outcomes. The areas below represent our core offer, supported by additional services selected to fit your priorities and requirements.
We assess your current architecture across people, process, and technology, then define a pragmatic target state aligned to your strategy. This assessment identifies your capability gaps, risks, and dependencies and produces a prioritised roadmap that balances quick wins with sustainable foundations, designed to help you gain momentum and measurable value
Governance is only valuable when it gives your organisation trust and control at scale. Our Data Management Operating Model (DMOM) defines decision rights, ownership, and stewardship, and incorporates risk and issue management, prioritisation, and change control. This gives you clear accountability, stronger compliance, and a governance approach aligned with your strategy and delivery.
You shouldn’t have to debate whether data can be trusted for decision-making. We assess data quality by domain to identify where problems originate in your business processes and data capture. You'll receive clearly defined validation rules, reconciliation checks, and quality metrics, supported by established practical processes for managing risks and issues, logging patches, and governing changes over time
Your team gets a clear view of how data change is captured, prioritised, and delivered through a value-driven engine, with defined roles, quality controls, and capability expectations. Our support models help manage day-to-day incidents, requests, and service improvements, enabling you to balance delivery momentum with reliable ongoing support.
Seriös ONE is our technical platform accelerator, built on reusable templates and proven patterns to speed up delivery. It reduces the effort required to deploy cloud data platforms, giving your team more time to focus on the design choices that matter, user needs and delivering measurable value.
We build analytics layers and data models to ensure your data is accurate, accessible, and aligned to business needs. With a governed self-service, your team is able to generate reliable reports independently, accelerating decision-making while maintaining control, security, and regulatory compliance.
Now. Reviewing and evolving your data architecture should be a core part of your data strategy — it’s how you move from vision to delivery. Architecture defines the structures that make data trusted, accessible and scalable. Without it, even the best strategies can stall.
With limited time and resources, the goal of our data architecture solution isn’t to rebuild everything at once. It’s to assess where you are, define where you need to be, and build a roadmap that supports smarter investment and lays the foundation for long-term value.
Even the best data tools won’t deliver value without an architecture that supports how your organisation works. We put the right structures in place that make your data usable, governed, and ready to support analytics, automation, and AI.
“The future of work is here. Though people are working in a hybrid manner, their desire for collaboration and offering exceptional workplace experiences is higher than ever. Our partnership with Seriös Group has enabled JLL to rise to this challenge through innovation in data and analytics.”
“Our partnership with Seriös Group has brought game-changing improvements to both our football performance and commercial operations. Through the power of integrated data, we're creating a smarter, more agile, and more engaged club.”
“By working with Seriös Group to establish best practices and implement Seriös ONE Launchpad, we’ve successfully transformed our data into a true strategic asset. With a unified and governed data platform, we can gain real-time insights, achieve a single view of our customers, and streamline our operations, allowing us to make smarter, faster decisions.”
“The flexible architecture of Seriös ONE Launchpad positions Equans for future growth, allowing the expansion of Condition Based Maintenance (CBM) to additional sites and integration of more data sources. The ongoing remote monitoring has meant quick identification and resolution of asset-related issues, extending the lifetime performance of the hospital's infrastructure while minimising carbon emissions.”
“Partnering with Seriös Group has proven to be a highly effective extension of our data capabilities. The flexibility and depth of expertise they offer has provided us with a reliable source of data support on tap, enabling us to scale and adapt quickly to evolving business needs.”
We’re tech-agnostic and always recommend the tools that are right for your business. However, we specialise in a core set of technologies we know deliver results fast.
Every decision we make serves a real business need. Your architecture is shaped around how your organisation operates, not theoretical frameworks.
We make architectures understandable and manageable, structuring data so stakeholders always know where it lives, how it flows and how to use it.
We embed governance, quality controls and ownership models that make your architecture dependable and secure across the organisation.
Your architecture grows with you, ready for new workloads, new technologies and the demands of analytics and AI.
Got questions? We’ve got answers...
A modern data architecture goes beyond systems and data pipelines. It spans people, process and technology to ensure data is trusted, governed and ready for use across the organisation. It supports flexible access, self-service, automation and AI — all without compromising control or compliance. Modern architecture enables data to flow efficiently from source to impact, aligning technical design with business need. It gives organisations a trusted foundation for scalable, secure and intelligent data use.
Implementing AI requires more than adding new tools or models. Your data architecture must provide trusted, well-governed and accessible data at scale. This includes establishing ownership, lineage, quality controls and governance structures that ensure data is secure, compliant and fit for purpose. It also requires architecture that supports both experimentation and production, with data platforms capable of scaling to meet evolving needs. Most importantly, it must align to real use cases and the organisation’s ability to adopt, manage and apply AI ethically.
A Data Management Operating Model (DMOM) defines how data is governed, owned and managed across an organisation. It sets out roles, responsibilities, decision rights and processes to ensure data is treated as a strategic asset. A strong DMOM provides clarity on who does what, how data-related risks and issues are handled and how priorities are set and delivered. Without it, governance often becomes fragmented and reactive. With it, organisations can manage risk, build trust in data and support consistent, coordinated, value-driven data activity.
Improving data quality means understanding where issues originate — from poor data modelling and inconsistent definitions to flawed capture processes. We conduct domain assessments to identify risks, flows, metrics and KPIs, and highlight where change is needed. That may include redesigning business processes, using AI to detect errors, centralising definitions and assigning clear ownership. By increasing transparency through self-service and embedding quality into both design and day-to-day operations, we help organisations make quality sustainable — not just reactive.
Yes — governance is not a barrier to self-service, it’s what enables it. Strong governance provides the clarity, structure and trust that allow people to use data confidently and responsibly. It ensures definitions are shared, quality is maintained and access is well managed. With the right governance in place, self-service becomes faster, safer and more effective — reducing reliance on central teams while maintaining control. When done well, governance accelerates the use of data, rather than slowing it down.
Get in touch. Whether it's just to say hello, tell us about your business or to find out more about what we do at Seriös Group then we'd love to hear from you.
