The "data banking" business model addresses the issues of volume reduction and accessibility, but in order to implement the service all data quality improvements, such as transcription, scanning and index correction, have to be done in advance and ahead of the requirement to use the data. Consequently the model has evolved into one of "just in case" the data are required for use rather than "just in time" sufficient for their need to be used.