Implementation & support
Build with your teams, then hand over to them.
Our end goal is simple: your teams should be able to add a source, evolve the model and diagnose a process with far more autonomy, without systematically depending on us. The whole process is organized to get there.
- Modeling, integration, quality and orchestration
- Information Marts and production rollout
- Training, knowledge transfer and documentation
- Support, model evolution and new sources
Benchmark
First domains delivered, then autonomy
Implementation
What we build
Modeling
Description of the business model in metaVault: entities, business keys, relationships and shared naming conventions.
Learn moreIntegration
Connecting sources, mappings, ingestion and historization, domain by domain rather than in a single batch.
Learn moreQuality
Business rules, completeness and consistency checks, reconciliation with source systems.
Learn moreOrchestration
Workflows, dependencies between processes, execution conditions and tracking of the load lifecycle.
Learn moreInformation Marts
Documented outputs consumable by your BI tools, your users and authorized agents in your environment.
Learn moreGo-live
Deployment into the target environment, operating procedures and recovery conditions.
Learn moreAutonomy
Training & Knowledge Transfer
Knowledge transfer isn't an end-of-project session: it starts as soon as the first domains are delivered, working side by side with your teams.
- 01
Training
Your teams are trained on the beVault platform and on the dFakto method, using your own model as the basis rather than a generic example.
- 02
Knowledge transfer
The final domains are built by your teams, with our support, until they become self-sufficient.
- 03
Documentation
Operational documentation and model documentation, populated from the beVault platform's metadata.
- 04
Support & evolution
After go-live: support, model evolution and integration of new sources, according to the scope agreed with you.
Les parcours e-learning beVault sont accessibles en ligne : beVault Learn.
Support
After go-live
A data platform is alive: new sources arrive, definitions change, teams turn over.
Operational support
Diagnostic and troubleshooting support when your teams encounter a situation they haven't seen before.
Model evolution
Support during structural changes: new domains, shifts in business definitions, reworking a scope.
New sources
Integration of systems that appear after go-live, or inclusion of those that had been excluded from the initial scope.
Next step