1. A method for extracting, transforming, and loading (ETL) job utilizing a business glossary stage, comprising the steps of: a computing device determining a business glossary, wherein the business glossary comprises a business term that correspond to a first business term of a first asset, a second business term of the second asset, and a third business term of a third asset, wherein the first asset comprises customer transaction information, the second asset comprises customer personal information, and the third asset comprises customer rating information; the computing device receiving a request from a user to create an ETL job associated with the business term; and the computing device creating an ETL job for the business term, wherein the ETL job comprises a business glossary stage, wherein the business glossary stage comprises correlating the business term to the first business term and to the second business term, renaming the first business term in the first asset to the business term, renaming the second business term in the second asset to the business term, combining the customer transaction information of the first asset and the customer personal information of the second asset into a single data entry of a final database, and filtering the final database to remove data entries which do not fulfill criteria of the ETL job, wherein the criteria comprises a minimum spend value for a fourth business term of the first asset; repeating the ETL job correlating the business term to the third business term.