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02 · Data platforms

Data architecture

Give your business data a structure people can understand and maintain.

Reports can disagree even when each calculation is technically correct. One team counts orders, another counts invoices, and a third uses a different definition of a customer. We help you agree what the information means and design the structure that reporting, applications and further development can share.

Agree the meaning before choosing the platform

We start with the decisions your teams need to make and the systems holding the relevant information. We identify the important entities, relationships and definitions, then discuss who owns them and who can resolve questions about quality.

A business model and a source-system model are not always the same thing. We make those differences explicit rather than passing them into every report as hidden assumptions.

Choose a structure your team can operate

The architecture follows the volume, variety and use of your data, along with your existing skills and infrastructure. Sometimes a well-organised database is enough. A warehouse or another dedicated platform may be appropriate when several systems and teams need to share information.

We document how information moves from its source to its intended use, where transformations happen and how access is controlled. The design should make likely future additions understandable without pretending to predict every requirement.

Introduce the model in manageable steps

We select a useful first area and test the structure against real records and reporting needs. This exposes missing definitions and awkward assumptions before the design is extended across the business.

The roadmap explains what can be migrated, what must be reconciled and which source problems need attention. The handover includes ownership and maintenance guidance so the architecture remains useful after the initial project.

What you receive

  • Business definitions and a documented data model
  • Architecture options and agreed target design
  • Data ownership, access and quality responsibilities
  • Reference implementation and staged migration plan

A good fit when

  • Different teams cannot reconcile their reports
  • Several applications need a common view of the same information
  • A new reporting or analytics project lacks a dependable foundation

Common questions

Do we need to replace our databases?

Not necessarily. The work may involve clearer definitions and a reporting layer around existing systems. We assess the current setup before recommending a platform change.

What if our data is incomplete or inconsistent?

We identify the gaps and their effect on the intended use. Some can be handled during processing; others need changes at the source. Those decisions are documented with the people who own the information.

Can we begin with one department?

Yes. A focused area gives the design a practical test. We still consider shared definitions and dependencies so that the first implementation can connect sensibly to later work.

Contact

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