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05 / Data

Data architecture and governance

Make data easier to manage and use through clear architecture, governance and fit-for-purpose platforms, so people can find it, trust it and act on it.

Typical challenges

  • The same data lives in several systems, and nobody is sure which version is right.
  • Reporting and analytics depend on manual work and a few experts.
  • Ownership of data is unclear, so quality issues have no one to fix them.
  • New uses of data, including AI, need data that is better organised than it is today.

What we do with your team

Map your data

We document key data, where it lives, how it flows and who uses it.

Design the architecture

We shape a data architecture that fits your systems and the uses you need to support.

Set up governance that works

We define ownership, rules and processes in proportion to your organisation.

Choose fit-for-purpose platforms

We help you select and shape data platforms that match your needs, not the latest trend.

How the work runs

  1. 01

    Understand: learn how data is created, moved and used today.

  2. 02

    Shape: agree the architecture and governance model.

  3. 03

    Deliver: support teams as the architecture and rules are put in place.

  4. 04

    Improve: refine governance as people use it.

Questions

Is data governance mostly about documents and committees?

It should not be. We keep governance in proportion: clear ownership, a few rules people follow, and processes that fit into existing work.

Do we need to use the Archy AI Platform to work with you?

No. Our services and the Archy AI Platform are separate. Architech builds Archy, but we recommend whatever fits your situation. If you do use Archy, we can help your teams adopt it.

About the Archy AI Platform

Next step

Need data people can find, trust and use?

Tell us which data matters most and where it causes problems today.