This chart presents a new data narrative titled "Global Reach by Custom Metric: Machine Screw Service" and focuses on the data dimension called "Regional Reach of Custom Metric for Machine Screw Service." The visualization aggregates a regional reach score across six regions to illustrate how widely the custom metric applies in practice. The scores are designed to reflect a composite view of service footprint, including regional coverage (number of active service points), responsiveness (average support time), and client engagement (inquiries and orders). In this example, Asia-Pacific leads, followed by North America and Europe, with Latin America, the Middle East & Africa, and Other regions trailing. It should be noted that the underlying data are synthetic and intended to demonstrate the concept of a Global Reach metric rather than to report real market performance. The metric was normalized to a 0–140 scale to allow straightforward cross-regional comparison on a single chart. The chart uses a 900×300 canvas with evenly spaced bars to facilitate side-by-side comparison. Each bar encodes a region’s score, where higher values indicate broader reach and faster accessibility to the service ecosystem for machine screw products. The regions are labeled below each bar for clarity, and light grid lines help guide the eye to approximate values. A simple tooltip reveals the exact region and score when hovering over a bar. Interpreting the visualization, higher bars suggest stronger regional reach and potential for deployment, while lower bars indicate areas where expansion or process improvements could enhance global coverage. The approach is intentionally simple to communicate relative strength across regions; future work could enrich the model with time trends, weights for different reach components, and disaggregation by product category to provide deeper insight for strategic planning. For decision-makers, this visualization highlights where to prioritize investments to enhance global service reach for the custom metric associated with machine screw services, guiding resource allocation, regional strategy, and operational optimization. Possible enhancements include incorporating time-series data to show growth trajectories, applying region-specific weights to reflect market priorities, and adding scenarios to test the impact of potential expansion plans.