A library of predefined data quality rules that can be self service to jump start a data quality initiative is needed. Data quality has become more important with the large amounts of data we are working with. A very time consuming activity is the time it takes to create new data quality rules using real business logic that is usually collected manually by SMEs or documentation. A general set of DQ rules by domain customer, product, finance, etc. that can be leveraged similar to the concept of "data classifications" which provide out of the box rules, although based on business data rules would address the use case necessary to manage data accurately and efficiently. The ability to also embed machine learning to learn typical DQ rules and generate new rules is also necessary to scale and keep up with the massive amounts of data ingested each day.