Data Architecture
Scattered data holds back everything you build on it: AI, platforms and applications. With Data Architecture, Indicia lays the technical and organisational data foundation that takes that brake off. The result is reliable, secure, scalable applications that keep delivering value.
What is Data Architecture?
Data Architecture is the Indicia capability for building the technical and organisational foundation under your data, so AI applications can run reliably, securely and at scale instead of getting stuck at the experiment stage.
What do we do?
Setting up a data architecture and infrastructure that fits your organisation and scales into the future.
Unlocking and structuring data from systems, documents and other sources, so AI can work with it.
Building a central knowledge and data layer that is AI-ready and serves as a reliable basis for several applications.
Embedding quality and security agreements in both technology and processes, so data security and data management are not afterthoughts.
The result: you put AI to work without the risk of data leaks or reputational damage, and your team spends less time searching, checking and retyping.
What does it deliver?
Data from different systems is brought together in one place, so applications and AI solutions always work from a reliable, central source.
Data definitions are aligned and transformed, so all your systems speak the same language.
You roll out new applications faster, because the foundation is already there.
Your data stays secure. As an ISO 27001 certified partner with an ISAE 3000A Type II report, information security is structurally embedded in everything we do.
How do we go about it?
Mapping out the data landscape
We analyse your current data environment: which systems and sources exist, where data sits, how reliable it is and where the bottlenecks are. That gives a clear picture of maturity, risks and quick wins.
Deciding on architecture and approach
Based on the analysis we set the target architecture and the priorities together. Which data sources do you connect first? Where is the most value? We put that down in a clear plan.
Building the data foundation
We set up the architecture, connect sources, structure data and embed quality and security agreements in both technology and processes. Step by step, so you notice improvements along the way.
Monitoring and developing further
We keep watch over the quality and reliability of your data. Where needed we adjust, extend or connect new sources. That way your data foundation grows with your organisation.
Why Indicia?
Indicia is a tech, data and AI partner that helps clients lead in the AI era. We don't overthink it, we build. Results in weeks, not months. With privacy and security as the foundation. Driven by senior experts who work right alongside you. That's how you turn AI into action.
We have experience across sectors, from public sector organisations to finance and SMEs. So we know what comes with complex landscapes, legacy systems, strict compliance requirements and high user expectations.
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Certified information security
ISO 27001 certification and an ISAE 3000A Type II report. Information security is structurally embedded in everything we do.
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Experience across sectors
Education, government, finance, HR and IT. We know complex landscapes with legacy systems and strict compliance requirements.
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A proven approach to fitting in AI
No greenfield fantasy. We work with existing platforms, your stack and your governance.
Our three other capabilities
Every stage is backed by hands-on expertise. We bundle it into four capabilities:
Business Acceleration
We turn AI strategy into market impact, from narrative and experience design to go-to-market activation.
Platform Engineering
We build AI applications, infrastructure and platforms. Certified, secure and future-ready.
Operations & Governance
We keep an eye on how your AI tools and other applications perform, and keep them stable and in control.
Let's talk
Time for action. Let's look together at how to build a robust data foundation for your organisation. No strings attached.
Let's connect
Data Architecture focuses specifically on the technical and organisational foundation you need to make AI applications work reliably. That goes further than reports or dashboards: we build the data architecture, the knowledge layers and the security agreements your AI can run on for the long term.
No. If your data is scattered or unreliable, that is exactly the starting point. We begin with an analysis of your current data landscape and decide together where the biggest bottlenecks and opportunities are.
That depends on how complex your data landscape is and how ambitious your organisation is. After our analysis you get a clear picture of your maturity, your risks and the quick wins. Implementation then happens step by step, so you notice improvements along the way.
Absolutely. Failed AI projects usually have the same cause: a data foundation that was not in order. We start with an open analysis of what went wrong before, and take a fresh look at scope, data quality and priorities.
From startups and SMEs to large corporates and public sector bodies. The challenge differs by sector, but the starting point is always the same: getting a grip on data as the basis for everything that comes after.
Yes. We work in a way that keeps your data, your knowledge and your intellectual property inside your own environment at all times. Data security is not an afterthought here; it is a technical and contractual starting point.