Where Qlik fits in a long-term product team.

The associative model works very differently from query-based BI. Selecting a value shows related records and also highlights what has no relationship to that selection: the missing association is often the finding, and a tool that only returns matching rows would hide it.

It is in-memory, which sets the constraint. The data model must fit in RAM, so model size is a hard limit, and reducing what is loaded is a recurring design activity.

What your dedicated team does with Qlik.

Qlik expertise is specialised. Its scripting language and modelling approach do not transfer from other BI tools, and an application built without understanding the associative model performs badly in ways that look like a platform problem.

Developing that specific depth deliberately is what the Talent Success and Academy programme is for.

Common Qlik use cases.

  • Finding what is not associated Gaps in relationships surfaced, which query-based tools do not show.
  • Models sized for memory Data reduction treated as ongoing design.
  • Existing applications maintained properly Working with the associative model.

Adding Qlik skills to your team.

Qlik capacity is assigned in a dedicated data engineering team, with data model design treated as the determinant of performance.

You can add Qlik capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.

Tell us what your roadmap needs Qlik for.

A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.

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