Analytics are vital to a safer future. As a renowned sustainability leader, SAS is committed to making a positive impact for our customers, employees, and the planet. Climate change is more important than ever, and the explosion of big data is essential to navigating this crisis. Learn how analytics is used around the world to help support a sustainable planet.

Preserving wildlife through modernized marketing

The Nature Conservancy redefined its marketing strategy through digital transformation with SAS Customer Intelligence 360. With more efficient fundraising and increased donor retention, this global environmental nonprofit achieved its best year ever for membership revenue, helping to advance its mission of building a more sustainable future.

Improving response to flood and fires

Climate-related weather events like fires and floods are on the rise, endangering communities and wildlife. To help monitor, measure and mitigate many of the effects of climate change, from bushfire ignition and flooding to air quality and environmental health, Australian engineering firm Attentis has designed and manufactured intelligent sensors.

Equipped with AI-embedded SAS Analytics for IoT, local officials can use the real-time information to identify hazards such as a smoldering fire or rapid water-level rise and respond immediately.

Artificial intelligence to aid the Amazon Rainforest

Rainforests continued to experience devastating forest loss as destruction and deforestation levels spiked. SAS launched a global project to use crowd-driven artificial intelligence (AI) to help track, and ultimately stop, deforestation in the Amazon Rainforest.

These findings give policymakers the opportunity to help protect the home of the most diverse species in the world thanks to trusted analytics decisioning.

Forecasting the impact of climate change and education

Over the next 5 years, 12.5 million girls will be unable to complete their education due to climate change. SAS partnered with the Malala Fund to develop the Girls Education and Climate Challenges index. This partnership uses forecasting to identify discrepancies in climate and education to enact change.

Predictive analytics for Flood Preparedness

Cities around the world are at risk of disaster from unexpected flooding events compounded by urbanization and increasing population. SAS Analytics for IoT paired with Microsoft Azure IoT provide real-time solutions using predictive technologies to improve citizen safety.

Safeguarding natural capital with analytics

The shift to a renewable future requires analytics to protect the natural assets that fuel our world. By doing this, we can preserve and optimize the food, water and energy resources needed for a sustainable future.

Combating carbon emissions with IoT

Carbon emissions are deteriorating our planet through global warming.

Most people have heard about the environmental consequences of excessive carbon emissions. The main concern is around carbon dioxide (CO2), the biggest contributor to greenhouse gases (GHGs) that are warming our planet.

Earth can balance out the effects of naturally occurring activities that produce CO2 (like respiration). But when we interrupt the natural balance – like burning a lot of fossil fuels or cutting down too many CO2-absorbing trees – climate changes escalate.

Many businesses have been using analytics for years to cut carbon emissions while achieving other goals – see how they're doing it.

The need to transform our planet through analytics is now. Technology and data empower us to make intelligent decisions to preserve our future. Learn more about our commitment to sustainability. 

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About Author

Emily Johnson

Associate Marketing Specialist at SAS

Emily is an Associate Marketing Specialist at SAS as a part of the Marketing Rotational Program. Through this, she has been able to explore different passions in marketing and refine her skills in campaign strategy, market research, and communications. As an avid people person and innovative storyteller, Emily is excited to continue her journey here at SAS.

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