Mobile Big Data Has Positive Social Impacts, According to Study
Sat, April 10, 2021

Mobile Big Data Has Positive Social Impacts, According to Study

Mobile big data has the potential to make our society a better place to live in. /Photo Credit: ESB Professional (via Shutterstock)


A new GSMA study found that using mobile big data solutions in areas like financial inclusion, disaster response, and disease prevention could make a positive impact on more than 150 million people in a span of five years, as cited by Ben Moore of It Brief Australia, a live news website. The study titled Mobile Big Data Solutions for a Better Future was prepared by PricewaterhouseCoopers (PwC) on behalf of GSMA. 

The study talks about how AI and advanced mobile network analytics can be applied to “drive societal impacts” that are in line with the UN Sustainable Goals (SDGs). Utilizing the power of data analysis and AI to gain valuable new insight will require innovation, investment, and collaboration between stakeholders, GSMA director general Mats Granryd stated. 

These stakeholders are development organizations, government agencies, and mobile operators. The study will aid in using mobile big data to transform the world for the better. Through mobile big data solutions, 120,000 lives could be saved “across the world’s most populated cities,” which is a result of people taking more informed measures to limit air pollution. This would lead to lower congestion and better transport planning. 

Due to more informed infrastructure planning via mobile big data solutions, 60 million individuals could have better access to healthcare. In healthcare, mobile big data solutions “target health facility deployment planning.” Further, it would also speed up evacuation operations from dangerous areas. Mobile big data solutions would save more than 25,000 lives from natural calamities in major at-risk countries by 2025. 

Mobile big data solutions could be employed to understand population movements as a way to curb communicable diseases from spreading. Moreover, it could be utilized to “target locations at risk of exposure,” thereby resulting in 650,000 cases of tuberculosis alone over the next five years. 

Mobile big data could target groups to raise awareness, develop trust, and build confidence in digital financial services. This could prompt 70 million more adults to take up financial services in countries with “unbanked” populations. Granryd explained, “The unparalleled reach of mobile networks across the globe provides a unique opportunity to use mobile big data solutions to solve problems and save lives.”