Manage the document lifecycle with complete  backup and archive functionality in both online and offline modes to balance  disk space and performance.
                      In online storage, the archived documents of  record remain within your SAP BusinessObjects system, but are invisible to  standard queries, saving processing power for the information that is of primary  importance to your analysts. 
          Offline storage moves archived documents of record  to a separate location while maintaining their integrity in relation to your BI  system, saving you both processing power and storage space.
                      In online archiving, APOS Storage Centerallows  you to change the status of specific report instances inside SAP  BusinessObjects so that they do not appear on the normal History screen. You  can authorize specific users to move instances from 'Active' to 'Online  Archive' or the reverse.
                      Archiving limits the number of document instances the system has  to search through, improving response times.            Online Archived report instances are not loaded by SAP  BusinessObjects. For this reason, these instances cannot be viewed from the  Online Archive. The main benefits of online archiving are: 
          
            - The       regular history screen has fewer instances, loads faster and generally       improves the end-user experience. 
- The       SAP BusinessObjects system's performance is improved.
Offline archiving copies selected report instances to an external  file location (with or without format conversion) and then deletes them from  SAP BusinessObjects. APOS Storage Centeralso allows an administrator to restore these  instances to their original location, or to a new location.
                      Offline archiving both improves performance and saves storage  space. Managing storage space is extremely important for migration preparation.  It helps you reduce the volume of data to be migrated. 
            Offline archiving also creates a neutral format copy for long time  storage.