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How to save scheduled reports to a local or network location?

Question & Answer


Question

What steps need to be taken to save scheduled reports to a local or network location?

Answer

Steps: 

In Cognos Administration:

1) In Cognos Analytics, log on as an Administrator. Click Manage > Administration Console.
2) In the Administration Console, navigate to the Configuration tab, and click on "Dispatcher and services" in the left panel. Drill down on the dispatcher and find the ContentManagerService in the list.


3) Under the Actions column, click "More..." then "Set properties" and navigate to the Settings tab.
4) Under the Value column, click Edit... in order to edit the advanced settings for the ContentManagerService.
5) In the Set advanced settings - ContentManagerService page, tick the Override the settings acquired from the parent entry check box. A table appears, in which you can add parameters.
6) Under Parameter, click in a cell and type

CM.OUTPUTLOCATION

7) In the corresponding Value cell, type the file system location where you want to store report outputs.

Note: for the network file system, use a UNC Path instead of a mapped drivename. The full file names of the output file and descriptor are passed to the script.

8) Click OK.

In Cognos Configuration:

1) On the computer where you installed Content Manager, start Cognos Configuration.
2) In the Explorer window, under Data Access, click Content Manager.
3) In the Save report outputs to a file system box, click True or False. (by default this is "false")
4) From the File menu, click Save.
5) Restart the Cognos service.

Related Information

[{"Product":{"code":"SSTSF6","label":"IBM Cognos Analytics"},"Business Unit":{"code":"BU059","label":"IBM Software w\/o TPS"},"Component":"Administration and Configuration v11x","Platform":[{"code":"PF002","label":"AIX"},{"code":"PF016","label":"Linux"},{"code":"PF027","label":"Solaris"},{"code":"PF033","label":"Windows"}],"Version":"11.0","Edition":"All Editions","Line of Business":{"code":"LOB10","label":"Data and AI"}}]

Document Information

Modified date:
15 June 2018

UID

swg22002545