Data platforms & analytics
Data platforms, pipelines and shared definitions for reporting, business decisions and AI.
Make information useful for decisions and action.
Teams can have plenty of data and still struggle to answer a business question. Reports may disagree, definitions may differ and getting an answer may depend on someone preparing a one-off extract. We connect the sources, agree what the numbers mean and build the data platform around the decisions your team needs to make.
Where we can help
- Platform architecture. Design warehouse and lakehouse foundations around business needs and the existing technology environment.
- Platform builds and migrations. Build or update the platform in stages, starting with the sources needed for your priority reports and workflows.
- Pipelines and transformations. Connect sources and prepare data for reporting, operational workflows and AI applications.
- Shared business definitions. Define metrics and business terms once, so reports and AI applications use the same meaning.
- Analytics enablement. Make data accessible through reporting and analytics, with quality checks and ownership considered in the design.
- Fractional data engineering. Maintain and extend the platform as new sources, questions and priorities emerge.
What this can look like
These illustrative applications show how the work can take shape.
Reporting teams can agree on
Bring information from several systems into a shared platform and define the measures with the business owners who use them.
A foundation for conversational data access
Prepare connected sources and clear business definitions so an AI application can work with the context behind a question.
A platform that grows with demand
Migrate priority data first, then extend pipelines and models as additional reporting and operational needs become clear.
From first decision to ongoing improvement
We begin with a business question and work with your team to agree on the sources and definitions behind the answer. We test a sample data flow and its quality checks before expanding the platform. As we build, we establish who maintains each source, who can access it and how new questions and data will be added.
See how we plan and build with youWorking
with Vation.
What to expect when you start an engagement.
Do we need a finished brief?
No. A few lines about your business and the challenge are enough to begin. Share what needs to change, the systems and people you already have, and what is getting in the way.
Do you only work on AI?
No. We also work on business and technology strategy, data platforms, automation, customer systems, custom applications and commerce. We recommend AI when it suits the problem.
Can you work with the systems we already have?
We assess your existing systems, people and constraints before recommending changes. The work may involve integration, a new build, an existing product or a simpler process.
What happens after the build?
We plan documentation, training, monitoring and future improvements as part of delivery. Ongoing responsibility can sit with your team, a fractional engineering team or both.
Bring us the
hard question.
Tell us about a business decision, a technology opportunity or a system you need to improve.
Start a conversation