GoodData AnalyticsGetting started

How a GoodData project goes from discovery to production, and what you need to get started.

How ASP Dijital delivers

We do not just resell the product: we deploy it and hand it over to your team.

  1. Discover

    In a workshop we clarify the current state, sources, goals and constraints, and choose the first use case together.

  2. Pilot

    We set up a GoodData pilot with a limited scope and written success criteria, and judge the result against them.

    • A single business area (for example one plant’s production KPIs) and a few key metrics.
    • Success criteria are written up front: which questions, which users, answered from which data.
  3. Roll out

    We standardise the models, policies and templates from the pilot, integrate with surrounding systems and run a security review.

  4. Enable and support

    We train your team, hand over documentation and support you after go-live.

What you need to get started

None of it has to be ready: we complete it together in the discovery workshop.

  • The source where the data lives: a warehouse, lake or database, and read access
  • The first three metrics and how they are calculated today (for example OEE, downtime, scrap rate)
  • Consumers: internal users, customers or both, and the tenant structure
  • Deployment preference: GoodData Cloud or your own infrastructure

Let’s take the first step with GoodData together

Tell us where you are and what you want to achieve, and we will outline the right scope and pilot plan. Our team replies within 24 hours.