Architecture Assessment & Roadmap
We review your current architecture, set a practical target state and provide a prioritised roadmap that shows the gaps and risks to address so you can move quickly while building solid foundations.
Expertise
Data Architecture
We design how data flows from source to impact
Data architecture defines more than technology. It governs how data is created, managed and shared end to end, ensuring the structures are in place for it to be a trusted and valuable 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.
How We Deliver Data Architecture 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.
Data Governance
Governance only works when it gives your organisation trust and control at scale. Our Data Management Operating Model (DMOM) defines decision rights, ownership and stewardship, and embeds risk management, prioritisation and change control to create clear accountability and stronger compliance.
Data Quality
We assess quality by domain, trace issues back to the processes causing them and give you clear validation rules, checks and metrics, supported by practical processes for managing risks, fixes and change.
Seriös ONE
Our DataOps framework Seriös ONE accelerates data solution delivery with reusable templates and proven patterns, freeing your data team to focus on high‑value work and measurable outcomes.
Change & Support Management
Your team gets a clear view of how data change is captured and delivered, with defined roles and quality controls. Our support models manage daily incidents and improvements, enabling you to balance delivery momentum with reliable ongoing support.
Data Analytics & Self-Service
We build analytics layers and data models that make your data accurate and business‑ready, and enable governed self‑service so your team can produce reliable reports faster while staying secure and compliant.
When to Think About Your Data Architecture
Reviewing and evolving your data architecture should be a core part of your data strategy. It’s how you turn vision into delivery. Architecture defines the structures that make data trusted, accessible and scalable, and without it, even the best strategies can stall.
Our goal 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 focuses your investment and lays strong foundations for long‑term value.
Is Your Data Architecture Ready for Analytics and AI?
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.
Our Data Solutions in Action
“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.”
Data Solutions Built for Your Organisation
Your tech stack needs to be the right one for your organisation. Whether you use Azure, AWS or GCP, we build data solutions that fit your infrastructure and specialise in a core set of technologies proven to deliver results quickly.
Helping You Build a Data‑Led Organisation
You get lasting impact from every engagement with our Data Solutions Experts, strengthening both your data team and your organisation.
Purpose Drives Design
Every decision we make serves a need. Your architecture is designed around how your organisation operates, not theoretical frameworks.
Transparency
We make architectures understandable and manageable, structuring data so stakeholders always know where it lives, how it flows and how to use it.
Quality Standards
We embed governance, quality controls and ownership models that make your architecture dependable and secure across the organisation.
Built to Evolve
Your architecture grows with you, ready for new workloads, new technologies and the demands of analytics and AI.
Discover More
Seriös ONE
AI driven data solution technology to propel your business.
Partnership
Get access to our skills and expertise on-demand.
Bespoke
Fully bespoke data solutions customised to your needs.
Back to data solutions
Frequently Asked Questions
Got questions? We’ve got answers...
What makes a data architecture “modern”?
A modern data architecture goes beyond pipelines and systems. It connects 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 while maintaining control and compliance. A modern approach enables data to flow efficiently from source to impact, giving organisations a scalable and secure foundation for intelligent data use.
What architectural changes are needed to implement AI?
Implementing AI needs more than new tools. It requires a data architecture that delivers trusted, well‑governed and accessible data at scale. This includes clear ownership, lineage, quality controls and governance to keep data secure and compliant. The architecture must support experimentation and production and align to real use cases, as well as the organisation’s ability to adopt and apply AI responsibly.
What is a Data Management Operating Model (DMOM), and why does it matter?
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.
How do Seriös Group improve data quality in a sustainable way?
Improving data quality starts with understanding where issues originate, from poor modelling and inconsistent definitions to flawed capture processes. We assess each domain to identify risks, flows and KPIs, then highlight where change is needed. This may include redesigning 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 rather than reactive.
Can self-service and strong data governance coexist?
Yes. Governance is what enables effective self‑service analytics. Strong data governance provides the clarity, structure and trust users need to work with data confidently. It ensures consistent definitions, maintained quality and controlled access. With the right governance in place, self‑service becomes faster, safer and more scalable, reducing reliance on central teams while keeping compliance and control. Done well, governance accelerates data use rather than slowing it down.
