Building multi-Region visualizations with Highcharts in Amazon Quick

<p>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.</p> <p>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.</p> <p>You will find that native <a href="https://aws.amazon.com/quick/quicksight/" target="_blank" rel="noopener">Amazon Quick</a> 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.</p> <p>Every time you try to approximate these visuals in native Quick Sight, you end up building separate dashboards per Region, using stacked bar workarounds for deltas, or averaging metrics that mask volatility between a carrier’s best and worst markets. These compromises add maintenance overhead and obscure the insights your stakeholders need to make confident, data-driven decisions.</p> <p>By embedding Highcharts as a custom visual in Quick Sight, you address these limitations with a single, unified JSON configuration. With its tilemap chart type and <code>colorAxis.dataClasses</code>, you can encode carrier dominance (including multi-carrier ties) across multiple regions in one visual, with legend toggles for region filtering. Its polar line chart renders a true polygon radar for multi-carrier, multi-category comparison, giving you the full competitive profile.</p> <p>Beyond geographic and radar views, Highcharts unlocks the chart types your analysis demands. You can use bullet charts to show performance against a 100-point target with color-banded zones, dumbbell charts to expose the spread between a carrier’s best and worst metro market, and waterfall charts to break down period-over-period score deltas.</p> <p>This post shows you how to build multi-Region carrier performance dashboards in Quick Sight using Highcharts custom visualizations to overcome native chart limitations. You will learn how to maintain data sovereignty across AWS Regions while creating unified visualizations through the Quick Sight federated dataset capability. The solution includes production-ready chart configurations and addresses security, compliance, and scalability requirements.</p> <h2 id="solution-overview">Solution overview</h2> <p>Your architecture depends on factors such as data residency requirements, latency needs, and compliance obligations. Two architectural patterns address this:</p> <h3 id="option-1-single-aws-region">Option 1: Single AWS Region</h3> <p>With this approach, you store carrier data (for example, both US and UK) in one AWS Region (for example, <code>us-east-1</code> or <code>eu-west-1</code>), using a single <a href="https://docs.aws.amazon.com/quick/latest/userguide/spice.html" target="_blank" rel="noopener">Quick Sight SPICE</a> (Super-fast, Parallel, In-memory Calculation Engine) dataset with a country column to logically identify the data.</p> <p>While this architecture is simpler for you to manage with one dataset and one SPICE refresh, it carries a potential drawback: if you choose a US-based Region, your data physically resides outside the UK, which may conflict with the UK General