Big Data Makes a Big Difference for Planet Earth

Using data and machine learning to protect the environment

Earth Day provides businesses and private individuals the opportunity to reflect on how they can best protect their beautiful and fragile world.

For travel and tourism businesses, this can mean finding innovative ways to reduce the environmental impact within their industry. This is not only the right thing to do, but it is what consumers want. In addition to desiring great accommodations and novel experiences, customers increasingly prefer to do business with travel and tourism companies that are dedicated to protecting the environment.

Big Data analysis and machine learning can help travel and tourism companies achieve these goals by finding ways to reduce the environmental footprint of their operations.

Using Data to Reduce Energy Costs

One of the most significant ways that travel businesses can help protect the environment is by reducing the impact of travel. Machine learning can be used to optimize travel routes and logistics, reducing miles traveled and emissions produced, according to researchers at Berkeley Lab’s Energy Analysis and Environmental Impacts Division:

Thirty percent of energy use in the U.S. is to transport people and goods, and this energy consumption contributes to air pollution, including approximately half of all nitrogen oxide emissions, a precursor to particular matter and ozone – and black carbon (soot) emissions… Applying machine learning technologies to transportation and the environment is a new frontier that could pay significant dividends – for energy as well as for human health.

Metrics for Waste Reduction

Another area where data analysis can help is to find ways for hospitality businesses, such as hotels, to reduce their waste. According to a Hospitality Technology article, large hospitality industry players are using Big Data analysis to track and find ways to reduce waste generation:

Ideally, data as granular as waste generation at the site-level will help organizations identify trends and targets to focus on by geographic region, site function, or department. For example, hotels might set different goals for the kitchen than housekeeping based on the differences in their waste stream. Diversion, which is the percentage of total waste kept out of the landfill, is the most common metric for waste reduction, but it’s not the only one.

Data Help

Even small- to medium-sized travel and tourism businesses can use data analysis and machine learning to reduce their environmental impact. The Big Data experts at LMS can give your company the analytical tools to inform its effort to increase sustainability and help protect the environment. For more information, call us at 800.257.5902 or message us today at


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