datAImotionFrom your sources to a
governed data architecture.
Give your data projects a clear direction. datAImotion connects your source knowledge, business decisions and technical deliverables in a shared repository, with AI support and your experts in control.
SourcesBusiness contextModelsDeliverables
Your data knowledge
becomes a shared asset.
When sources, rules and decisions are scattered, projects lose consistency. datAImotion connects them to help your teams design, validate and evolve their platform on a common foundation.
Align your teams
Business stakeholders, architects and data teams share the same concepts, definitions and rules. Everyone can understand the context behind each decision.
AI assists. Your experts decide.
AI proposes domains, relationships and models. Your teams review, refine and validate them at every key stage.
Build on your knowledge
Preserve versions, relationships between objects and decisions. Evolve your models without losing the knowledge you have gained.
One connected journey.
Decisions under control.
Each stage enriches the same repository, from discovering your sources to preparing your deliverables.
Understand
Explore your schemas, tables, relationships and documentation to make sense of your data assets.
Sources & contextStructure
Define business domains, your glossary, rules and data contracts with AI support.
Business context & contractsModel
Design Data Vault models, dimensional models or data products based on concepts reviewed by your experts.
Models & validationPrepare for delivery
Generate and verify dbt artifacts, tests and documentation for your production delivery pipeline.
Deliverables & traceabilityYour team stays in control: generating artifacts, promoting them and executing them are separate steps.
Decisions that become
usable deliverables.
Value lies in what your teams can reuse, verify and evolve.
Structured business knowledge
Domains, glossaries, rules and data contracts connected to your sources.
Governed architecture models
Data Vault, Kimball dimensional models and data products connected to design decisions.
Artifacts for production delivery
dbt assets, checks, tests and documentation to integrate into your delivery process.
A shared repository
When should you use datAImotion?
You are launching a data platform
Define your sources, domains and responsibilities before you start implementation.
You are evolving your architecture
Structure your choices between Data Vault, dimensional models and data products within a common framework.
You want a stronger delivery process
Turn validated choices into traceable deliverables, and reuse knowledge from one project to the next.
Your platform executes.
datAImotion connects decisions.
Snowflake, Databricks, dbt, your BI tools and your catalogs all have a place in your architecture. datAImotion provides a framework for design, documentation and governance around the deliverables intended for this environment.
Integration details depend on your technology stack and project scope.
Follow Us expertise by your side.
The tool moves your project forward.
Expertise sets the direction.
A data platform is built around your challenges. Follow Us supports you from scoping to implementation, aligning your business priorities, architecture choices and path to production with your use of datAImotion.
- Define use cases and priorities
- Set your architecture and governance
- Support implementation
Let’s start with
your data challenges.
Let’s discuss your sources, target models and priorities. Together, we can explore how datAImotion fits into your project.