Context and assignment
Data governance & Data Engineering for the Data/IT team.
Engagement within the Data/IT team to continuously process and deliver clean data to the various business units. Framing with the business, setting up new Talend or Azure Data Factory flows, as-code deployment of pipelines (Cloud, CI/CD), new databases, cost analysis.
The challenge
What was at stake
For Transavia, the assignment covered: “Data governance & Data Engineering for the Data/IT team”. This kind of programme involves business departments, IT and data teams at the same time: it has to deliver quickly without weakening existing systems, and leave behind practices that hold once the assignment ends.
The relationship
Visian since 2023
Transavia entrusts Visian with building and running its Azure data platform, from architecture to exposing data to the business. Visian has worked there since 2023, with 14 assignments.
Expertise involved: Azure data engineering (Data Factory, Python), Azure Data architecture, data business analysis, integration project support, QA.
Deliverables
- Azure Data platform architecture
- Dedicated Azure data engineering team for ingestion and transformation
- Functional architecture and integration project support
- Quality management (QA Lead)
- Cloud projects and data transformation
Team and duration
Duration, team and scope
- Duration: since 2023, 14 assignments.
- Team: a multidisciplinary Visian team, sized to each phase, covering azure data engineering (Data Factory, Python), Azure Data architecture, data business analysis, integration project support, QA.
- Scope: Azure Data platform architecture; Dedicated Azure data engineering team for ingestion and transformation; Functional architecture and integration project support; Quality management (QA Lead); Cloud projects and data transformation.
Approach
How Visian worked
- Scope: workshops with the departments involved, assessment of the existing set-up, prioritisation and deliverables approved in steering committee.
- Build: delivery in short iterations, shared milestones and project governance with the client teams.
- Handover: adoption support, documentation, skills transfer to in-house teams and move to run.
Results
Measured results
Scope
Methods and technologies
Expertise involved