DAX specialists for your dedicated team.
DAX is the formula language of Power BI, Analysis Services and Power Pivot. It calculates measures over a tabular model, with evaluation determined by filter and row context.
Where DAX fits in a long-term product team.
Filter context is the concept that decides whether someone can write DAX or only copy it. A measure produces different results depending on the filters applied where it is evaluated, and functions like CALCULATE modify that context. Without understanding it, correct-looking formulas produce wrong numbers in specific slicer combinations.
Performance follows from the model. A star schema with proper relationships performs well; a model with bidirectional filters, many-to-many relationships and calculated columns where measures would do performs badly, and no amount of formula optimisation compensates.
What your dedicated team does with DAX.
DAX is one of those languages where surface familiarity is common and real depth is rare. Reports that are subtly wrong in certain filter combinations, without anyone noticing, are the normal failure mode.
Building real depth is what the Talent Success and Academy programme is for.
Common DAX use cases.
- Measures correct under every slicer Filter context understood, so results hold across every combination.
- Model design as the performance lever A clean star schema as the foundation for every formula.
- Time intelligence that is right Year-on-year and running totals handling partial periods and fiscal calendars correctly.
Adding DAX skills to your team.
Power BI work sits with a dedicated data engineering team, with model design as the foundation.
DAX specialists join your team remotely as dedicated, full-time team members, selected, employed and managed by us in Chiang Mai and Bangkok. Companies that hire offshore developers through Azendo add the skill at the next monthly cycle.
Tell us what your roadmap needs DAX 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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We reply within one business day.