Over 80% of countries do not provide any official reporting of economic activity and multiple reports coming out of some countries, such as China, can sometimes imply conflicting results. This talk will cover how remote sensing and geospatial analytics can fill this gap for industry applications in the financial and energy sectors. Through access, aggregation, and analytics, Ursa is the first to deliver reliable weekly reports of 77% of China’s crude oil inventories. Ursa uses synthetic aperture radar (SAR) to deliver its timely reports and has access to all the world’s commercial SAR satellites. Aggregation of multiple satellites gives Ursa the ability to be SAR sensor-agnostic, creating a virtual constellation with a revisit rate of up to twice a day. Ursa’s image processing experts have developed geospatial analytics to work on multiple formats, multiple incidence angles, and multiple resolutions. Additional, proprietary research is incorporated to provide context, such as tank owner and storage type, for analytics results. Example use cases, such as macro-economic analysis, currency, and stock prediction, as well as other financial applications, will be presented. Data sources that provide reliable global economic intelligence are disrupting traditional energy and commodities paradigms.