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Training

Handing the platform to engineers, analysts and executives

Enablement

Engineers, analysts and executives trained on the platform they now run themselves, inside the engagements rather than beside them.

The engagement: existing, as built, in production

  1. Existing

    The challenge

    Client teams across engagements lacked the skills to use Foundry and its analytical tooling on their own. Engineers had to move from traditional data engineering into Foundry, and analysts and executives relied on dedicated engineering support for every insight.

  2. As built

    What we built

    • Foundry upskilling for SQL and Python engineers: data connectors, pipeline development, AI-assisted development and data modelling, in sandbox sessions
    • Analytics enablement: workshops on Foundry’s analysis tools for analyst teams, with guided exercises towards self-service
    • Executive training on effective AI use and AIP Analyst
  3. In production

    The impact

    • Client engineers build and maintain Foundry pipelines without us
    • Analysts answer their own questions without waiting on engineering
    • Senior leaders trained to use AI on strategic questions

    Independent

    by the end of the engagement

The same problem elsewhere

The same handover applies to any team that has a platform and a partner, and wants the platform without the partner.

Manufacturing & engineering
Plant and central data teams trained to run their own pipelines and analysis.
Energy & utilities
Asset and operations analysts moved to self-service, engineers owning the pipelines.
Public sector
Departmental analysts and engineers trained to extend what was built, without a standing contract.
Healthcare & life sciences
Informatics and operational teams running the platform after the build.

Bring us the version of this you are living

Tell us where your programme stands, and we will say whether the same approach would work for it.

info@ainurinsights.com