How Quadrant helps you meet your ESG goals with location data

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ESG (Environmental, Social, and Governance) risks have become increasingly significant concerns for businesses worldwide. Issues such as climate change, social inequality, and data privacy can significantly impact a company's financial performance and credibility. Therefore, businesses must prioritize socially responsible and sustainable practices while driving innovation. This is where Quadrant comes in as your trusted location data partner to help you meet your ESG goals with location data.


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At Quadrant, our data offerings are high-quality and also promote data governance, sustainable practices, and socially beneficial innovation. We help clients in various industries make informed decisions and take actions aligned with their ESG goals. 

Build sustainable cities and efficient transportation systems

Quadrant is helping city administrations, urban planners, and transportation agencies use location intelligence to build sustainable cities and efficient transportation systems. By providing insights into how people move through urban spaces, data scientists and analytics leaders can identify popular travel routes, evaluate gaps between transit supply and demand, and isolate low-density routes that would be better served by resource-efficient and environmentally friendly micro transit solutions.

Reduce fuel consumption and emissions with up-to-date POI data

Quadrant's POI data offering aims to minimize the distance traveled and reduce idle time for delivery personnel, which can result in significant fuel savings and reduced emissions. With accurately mapped-out key locations such as warehouses, distribution centers, and other critical sites, businesses can optimize navigation systems, streamline operations, cut costs, and keep emissions in check.

Identify socio-economic gaps and develop strategies to bridge them

By using geospatial intelligence, policymakers and organizations can identify economically disadvantaged areas and develop strategies to address these disparities. For example, location data can help identify areas with high concentrations of poverty or unemployment, which can inform targeted interventions such as job training programs or financial aid. Location data can also identify areas with limited access to public transportation, healthcare, or education and inform infrastructure development to improve access.

Reducing the environmental footprint of supply chains operations

Geospatial data can help improve efficacy and build a sustainable supply chain in myriad ways. For instance, companies can lower operational costs, enhance productivity, and decrease their carbon footprint by taking shorter, more fuel-efficient routes.

Helping local economies

Our proprietary POI data collection platform, Geolancer, supports ESG goals in meaningful ways. Geolancer is a mobile app that allows users to collect ground-truth POI data in exchange for crypto-rewards. This localized, incentives-based mapping approach is helping numerous people improve their financial well-being. Additionally, the rewards from full-time Geolancing can amount to the average wage of a delivery driver or equivalent roles in developing markets.

Staying compliant with data privacy regulations

At Quadrant, we prioritize data privacy and believe in using data to make a positive impact while respecting individuals' privacy rights. Our proprietary algorithms automatically scan and remove PII from POI data and images collected through Geolancer. Our clients can receive PII-free data and avoid compliance concerns.

Enhancing resilience to public emergencies and natural disasters

Location data can provide valuable insights into human mobility patterns during and after a disaster, aid in socio-economic impact analysis, and determine where help is most needed.


Quadrant supports your ESG goals through quality data and governance, helping you make informed decisions, inculcate sustainable practices, and drive socially beneficial innovation.

Download the full eBook to learn more.

 

 

 

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