Can data and analytics save the world?
A recent Information Week article asked this very question, offering up some amazing “data for good” use cases that ranged from helping the homeless to reducing pollution to predicting when public water systems need service.
As defined by Gartner, data for good is “a movement in which people and organizations transcend organizational boundaries to use data to improve society.”
According to the article, one cause that data for good is helping advance is the global fight to provide clean water to everyone. The Global Water Challenge is analyzing the data in water pumps in Sierra Leone to better predict when maintenance or replacement is needed. By looking at data already being collected by governments and local charity organizations, the data scientists at the Global Water Challenge were able to identify more points of water pump failure across a wider area, enabling them to use data visualization and analytics to make better predictions about where the next failure might occur.
But wait, there’s more.
Organizations like DataKind are uniting communities, causes, and data scientists for the greater good. According to its website, DataKind “brings high-impact organizations together with leading data scientists to use data science in the service of humanity.” With a worldwide network of 18,000 volunteers, and growing, the organization makes it easy for data scientists to contribute their knowledge and expertise to good causes. Together, volunteers are helping improve everything from crisis counseling to foster care for children to students’ performance in school.
Are you ready to explore data for good at your company? Then get started now, because there’s no better time to see how data can support a good cause in your business or industry.