When considering implementing Operational BI solutions, many implementers first think of copying the operational data to an operational data store (ODS), data warehouse or data mart and analysing it there. They are immediately faced with the problem of how to update the informational environment fast enough to satisfy the timeliness requirement of the users. As that approaches real-time, traditional ETL tools begin to struggle. Furthermore, in the case of the data warehouse, the question arises of the level of consistency among these real-time updates and between the updates and the existing content. The way MongoDB is used points immediately to an alternative, viable approach--go directly against the operational data.