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Data Services

A platform isn't enough. You also need a team.

dFakto has been building data platforms for public and private organizations for years. beVault grew out of that practice. Our services follow the same principle: we work with your teams, not in their place, and we leave once they're self-sufficient.

  • Scoping and target architecture
  • Implementation and production rollout
  • Training & Knowledge Transfer
  • Ongoing support and evolution

Our approach

Your teams and ours, on the same ground

Illustration: client teams and dFakto teams working together
dFakto teams work alongside yours, from scoping through to knowledge transfer.

Roles

Who does what

A data project doesn't depend only on technical choices. It moves forward when it's clear who decides, who builds, and who takes over afterward.

The dFakto team

Data architects and engineers who bring methodology, platform expertise and experience from environments comparable to yours.

Your team

Your business experts and IT teams remain owners of the definitions, priorities and trade-offs. They are the ones who will run the platform afterward.

The deliverables

Target architecture, model described in metaVault, integrated sources, quality controls, orchestration workflows, documented outputs and operational documentation.

Process

The path of a project

  1. 01

    Scoping

    Objectives, scope, regulatory constraints and an assessment of the current setup. The output of this step is a decision, not a document.

  2. 02

    Target architecture

    Choice of target platform, deployment mode and domain breakdown, with the roadmap to get there.

  3. 03

    Implementation

    Modeling, source integration, quality controls, orchestration and Information Marts, delivered domain by domain.

  4. 04

    Go-live

    Go-live, operations, documentation and knowledge transfer to your teams, followed by ongoing support.

Scope

What we build

We work across the entire trajectory, combining dFakto's team expertise with the beVault platform's capabilities: modeling, source integration, quality controls, load orchestration, Information Marts and go-live.

Next step

Talk to an architect about your context before talking about tools.

Discuss your data trajectory