Big data is already commonly used to create data-driven investment models. Such models typically evaluate public companies on fundamentally-based or economically-motivated investment themes and use company-specific data such as financial statements, returns, volumes, internet web traffic, patent filings and its content to guide investments. It is only natural that investing with impact in a data-driven environment is only possible using systematic impact data.