Data Visualization W/ Tableau
Data Visualization W/ Tableau
Embedded Files
As Intel prepares to build a new data center, energy availability and usage are key factors in determining the ideal location.
Objective: analyze and identify regions that produce a surplus of energy, making them more likely to offer competitive prices, while also assessing their reliance on renewable energy sources.
As Intel prepares to build a new data center, energy availability and usage are key factors in determining the ideal location.
Objective: analyze and identify regions that produce a surplus of energy, making them more likely to offer competitive prices, while also assessing their reliance on renewable energy sources.
Strategy for Intel's Sustainability Team
Strategy for Intel's Sustainability Team
Prepare the data.
Prepare visualizations and calculated fields.
Analyze data via the visuals.
Create a dashboard.
Make strategic recommendations for the organization.
This bar chart identifies regions that are net energy producers by visualizing their energy surplus or deficit. The calculated fied I created, 'NetProduction', is used to sort regions in descending order, distinguishing those that generate a surplus from those that rely on imports.
Insights:Net energy-producing regions sell their surplus to areas in need.This visualization reveals which regions produce more energy than they consume, aiding Intel's decision-making for the new data center location.
The objective of this bar chart visual is to identify regions with the highest use of renewable energy, focusing on wind, solar, and hydropower sources. Using my calculated fields RenewableEnergy and RenewablePercentage, the bar chart displays regions ranked in descending order by the percentage of energy generated from these sources. This visualization provides a clear picture of which regions are leading in renewable energy adoption.
Insights:The top three regions with the highest percentages of energy generated from renewable sources, demonstrating their strong commitment to sustainable energy. This aids my strategic decision-making for locating an energy-intensive data centers, emphasizing regions with abundant renewable energy.
This project is co-designed with Intel's Sustainability Team, focuses on creating dashboards and visualizations to empower the decision-making process.
By exploring these factors, our goal is to help Intel select the most sustainable and cost-effective location for the new data center.
By exploring these factors, our goal is to help Intel select the most sustainable and cost-effective location for the new data center.
This line chart visualization offers stakeholders a visual comparison of energy sources across regions over a selected period, providing insights into how the energy mix varies by region and timeframe. I created a calculated field, Period, based on the SelectPeriod parameter, that allows users to toggle between daily, weekly, or monthly data.
Insights:This chart enables decision-makers to analyze the proportions of each energy source across different regions over time. It provides valuable insights into regional energy trends and shifts in generation, such as increased renewable usage. It helps strategically determine the best location for a new data center by identifying regions with favorable energy sourcing profiles.
Interactive Dashboard made with Tableau: Click Here
Analysis: I would recommend building Intel's next data center in a region that consistently shows a surplus in net energy production and high percentage of renewable energy sources, like the Pacific Northwest. The Net Production chart identifies this region as a strong candidate because of their positive net energy production. This shows that they generate more energy than they consume. This suggests that they will maintain lower energy costs and greater availability.
Also, on the Renewable Energy chart, these regions also exhibit a higher reliance on renewable energy sources. This is very important to Intel. The Pacific Northwest has a significant investment in wind energy, which opens the door for potential sustanability. Personally, this makes it an ideal candidate for the next location for Intel's data center.
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