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Multi-Panel Site-Selection Dashboard: A Tool for Decision-Making

This dashboard leverages machine learning to provide a comprehensive analysis of potential sites based on various criteria.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

What the Dashboard Does

The dashboard presents a multi-faceted view of potential sites for business operations. It combines three distinct visualizations: a ranked score bar chart that ranks the sites based on a composite score, a cost/revenue bubble scatter plot that shows the relationship between costs and revenues, and a color-scaled risk bar that indicates the relative risk levels of each site.

By leveraging these visualizations, decision-makers can quickly identify which sites are most promising by considering multiple factors simultaneously.

How It Works

The dashboard uses machine learning algorithms to calculate a composite score for each site based on predefined criteria such as cost, revenue potential, and risk. The ranked score bar chart is updated in real-time as the user selects different sites from the dropdown menu or adjusts sliders.

The cost/revenue bubble scatter plot helps users understand how changes in revenue expectations or costs might affect the profitability of a site, while the color-scaled risk bar provides an at-a-glance assessment of each site's risk level.

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Why It Matters

In business and real estate, effective site selection is crucial for maximizing profits and minimizing risks. The dashboard simplifies the decision-making process by providing a clear, data-driven analysis that can help stakeholders make informed choices.

Moreover, it allows for dynamic exploration of different scenarios, enabling users to test various strategies before committing resources.

Real-World Applications

This type of dashboard is particularly useful in industries such as retail, manufacturing, and logistics where site selection can significantly impact operational efficiency and financial performance.

For example, a retail chain might use this tool to select the most profitable locations for new stores or distribution centers based on local market conditions, competition levels, and customer demographics.

Frequently asked questions

How does the dashboard calculate the composite score?

The composite score is calculated using a weighted sum of predefined criteria such as cost, revenue potential, and risk. The weights are determined based on user preferences or through machine learning algorithms that optimize for specific business goals.

Can users customize the dashboard to include additional factors?

Yes, while the current version includes a set of predefined criteria, users can potentially request customizations to add or remove factors based on their specific needs and objectives.

How does linked brushing work in this context?

Linked brushing allows users to select sites in one visualization (such as the ranked score bar chart) and see corresponding changes in other visualizations (like the cost/revenue bubble scatter plot). This helps in understanding how different factors interrelate.

What is the purpose of the risk-tolerance slider?

The risk-tolerance slider enables users to adjust their preference for risk versus reward. It allows them to focus on sites that align with their risk management strategy, whether they are more conservative or willing to take on higher risks.

Try it live

Everything above runs in your browser — open Multi-Panel Site-Selection Dashboard (2D) and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Multi-Panel Site-Selection Dashboard (2D) simulation

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