Data vault modeling does not distinguish between data that conforms to the business rules and data that does not. The data that does not conform is generally called "bad data". Dan Linstedt, who developed the technology, said that a data vault modeling stores "a single version of the facts". In other data warehouse modeling schemes, the data warehouse generally stores "a single version of the truth", data that does not conform to the business rules is removed. 