Organizations who leverage data as an asset in order to make decisions into their future have to entrust the data in which important business decisions are derived from. While almost all businesses leverage their own collected or generated data (or plan to) for internal use, I question how many actually scrutinize their data? Companies who sell a product have to make sure the product is run through some sort of quality assurance suite of tests/runs before it lands in the hands of a customer. Well much the same, organizations who use data internally as their own asset/product should have the same or more confidence in the quality of their data. Owl-Analytics is a data quality product that observes the data in order to surface behaviors, patterns, outliers, schema changes, record changes, and more.