Data & artificial intelligence / Data & Big Data

Data ready to be put to work.

We connect sources and build pipelines and platforms for analytics, applications and AI to use reliable data.

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How the pieces connect
Data & Big DataSources → Pipelines → Useful data → QualitySourcesPipelinesUseful dataYAS / DATA
A connected system. A team that understands it.

01 / The context

When data exists but arrives too late.

Isolated sources, fragile processes and uncertain quality make data hard to use. We define its path with ownership, checks and traceability.

  • Unify scattered sources without losing context.
  • Process batch or streaming data as needed.
  • Supply analytics and models with traceable data.

02 / Data & Big Data

What we build

Scope is agreed around your environment, priorities and team.

01

Source integration and data processing

Connectors and ingestion processes adapted to each source.

02

Pipelines and storage platforms

Processing and storage designed around scale and consumption.

03

Data quality, lineage and governance

Validation, lineage and access rules for information.

03 / How we work

We work as part of your team.

  1. 01

    Understand the starting point

    We review systems, objectives and constraints with the people who know the business. Together we agree priorities and how progress will be validated.

  2. 02

    Build and validate together

    We divide the work into reviewable deliveries and share decisions, code and documentation throughout execution.

  3. 03

    Prepare for continuity

    We validate the result, transfer knowledge and agree how to maintain and evolve what has been built.

Also part of your project