Data architecture

Understand the flows before connecting the tools.

Data moves between applications, documents and external services. We make those exchanges understandable so you can define authoritative sources, access rights and deployment conditions suited to your organisation.

Let’s discuss this need
From data to a controlled flow

A clear reference for every exchange.

Define where information comes from, how it moves and how to handle differences between tools.

The workflow in practiceInteractive illustration

Example: pass a customer record between two applications without picking a version at random.

Step 1 / 4

The reference

Define the fields, their owner and read access.

Reference source

Select a step to explore it.

Know where each piece of information comes from.
PostgreSQLPython
PostgreSQL
SourceFormatAccess
IdentifiedStructuredDefined
Source
Defined reference
Conflicts
To review

A documented exchange with an identified reference and visible exceptions.

Illustrative workflow: tools, connections and scope need to be defined for your environment.

The starting point.

An architecture is also tested in everyday use: finding where information came from, correcting an error or recovering after an interruption. We study these operations alongside the connections to build.

Use cases to explore.

  • When multiple applications describe the same customer or case, establish the authoritative source and how changes reach other systems.
  • When an AI service uses internal documents, map transmitted data, the providers involved and the permissions of each role.
  • When deploying a new application, prepare its environments, sensitive settings and necessary operational procedures.

What the project can include.

  • A map of the agreed components and flows.
  • Authoritative sources and access rules.
  • Documented storage and connection choices.
  • The agreed deployment and recovery procedures.

How to move forward.

  1. 01

    Map the existing environment.

    We identify applications, data categories and their owners. Manual copies, exchanges and dependencies become visible.

  2. 02

    Define responsibilities.

    Every piece of data and operation needs an understandable role. We specify permissions, update rules and exceptions.

  3. 03

    Prepare operations.

    Checks cover the planned exchanges and permissions. We document configurations, diagnostics and operational procedures included in the project.

Your questions.

Must all data be centralised?

Not necessarily. Some information can stay in its original tool. The aim is to define coherent references and exchanges based on the identified uses and constraints.

Does hosting alone describe data processing?

No. An application may call other services. We distinguish its hosting location from the destinations of transmitted data, particularly where a model provider is involved.

Can we change only part of the existing environment?

Yes, if the assessment supports it. A connection, component or permissions can be adjusted without rebuilding everything. Effects on other tools still need to be examined.

A first conversation

Let’s talk about your project.

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