DFAST and CCAR require bank holding companies to report, in detail, how they would respond to hypothetical market scenarios that represent macroeconomic shocks like a housing meltdown or a stock market crash. The data used by each company to predict losses and create a response plan must be actual data, not approximated. Using the commercial real estate market as an example, this post explains how a location-based BI on Hadoop solution provides analysts and portfolio managers with a flexible way to use microeconomic real estate market factors as the foundation to a robust and actionable response to regulators.