Coupling disparate data sets into meaningful "mashups" is a powerful way to test new hypotheses and ask new questions of your organization's data. However, more often than not, the most valuable data in your organization has already been transformed and warehoused by IT in order to support the analytics needed to run the business. Tools that neglect these IT-managed silos don't allow your organization to tell the most accurate story possible when pursuing their discovery initiatives. Data discovery should not focus only on the new varieties of data that exist outside your data warehouse. The value from social media data and machine generated data cannot be fully realized until it can be paired with the transactional data your organization already stockpiles.