It sounds like you're interested in creating a visual representation of the connections between individuals based on their location, job, and potentially other attributes. While there are several tools and platforms that can help you create and visualize such connections, you might consider using a graph database or a data visualization tool.

Neo4j: Neo4j is a popular graph database that specializes in storing and querying data with complex relationships. You can model your data in a graph format, where nodes represent individuals and jobs, and edges represent the connections between them. Neo4j provides powerful querying capabilities to analyze and visualize these relationships.

Gephi: Gephi is an open-source data visualization and exploration tool specifically designed for analyzing and visualizing networks and graphs. It can help you create interactive visualizations of the connections between individuals, their locations, and jobs.

Tableau: Tableau is a versatile data visualization tool that allows you to create interactive dashboards and visualizations. You can connect your data to Tableau and create visualizations that show the relationships between individuals, locations, and jobs.

Cytoscape: Cytoscape is another open-source platform for visualizing complex networks and graphs. It's commonly used in bioinformatics and social network analysis, but it can be adapted to visualize other types of data relationships as well.

Linkurious: Linkurious is a commercial platform that specializes in visualizing graph data. It can help you create interactive visualizations and explore the connections between individuals, locations, and jobs.

Microsoft Power BI: Power BI is a business analytics tool that can be used to create data visualizations and share insights across an organization. It has capabilities to create various types of visualizations, including those that show relationships between entities.

When using these tools, you'll need to structure your data appropriately to represent the relationships between individuals, their locations, and jobs. This might involve defining nodes and edges in a graph database or organizing your data in a way that's conducive to network visualization.

Remember that the effectiveness of your decision-making will depend not only on the tools you use but also on the quality of the data you have and the insights you draw from it. It's important to carefully plan your data model and visualization approach to ensure that you're gaining meaningful insights from your data.