When your carrier performance data spans multiple regions, your dashboard must reconcile fundamentally different competitive structures within a single view. For example, in the US, you rank three carriers (Carrier 1–3) across 49 states and hundreds of metro markets. In the UK, you’re comparing four carriers (Carrier 4–7) across a separate set of national regions. The challenge you face is not only geographic but also structural.

The differences in carrier count, market density, and regional detail between these two geographies mean that no single out-of-the-box chart type can tell your full story. You need visualizations that answer layered questions simultaneously: who leads, by how much, how consistently, and whether they are improving or declining.

You will find that native Amazon Quick visualizations do not tell your full story when you try to answer these questions at scale. Amazon Quick Sight can’t encode which carrier or combination of carriers dominates each geographic tile. It can’t render a radar chart that profiles all seven carriers across seven performance categories simultaneously. And it can’t produce chart types such as bullet charts and dumbbell charts, which you need to surface the nuances in your data.