The document discusses alternative data and its importance. It defines alternative data as data derived from non-traditional sources like mobile devices, websites, and sensors. This data can provide insights that complement traditional sources and help with decision-making. The document outlines 8 types of alternative data and 3 ways to access it, including hiring a data scientist, partnering with a third party, or using web scraping software. It provides examples of alternative data's applications in advertising, tracking corporate revenues, risk assessment, and more. Overall, the document promotes alternative data as a valuable new resource for businesses seeking a competitive edge.