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Hi,
I want a list of applications which are not used/opened in last 30 days and 30 -60 days from QVS. How do I get that list.
Please advice
Thanks
PR
Well, the data is already there in the governance dashboard.
You just need to modify the graph to group by unused time period, maybe similar to this:
=Aggr('>=' &Floor(Today()-max(daystart(Session_Start)),30) &' days unused',DocName) | Doc | Sessions | Unique Users | Unique Docs | Avg. # Selections | Avg Duration | MBytes Sent + Rec'd | Session Calls | Last Accessed | Days Since Last Session |
---|---|---|---|---|---|---|---|---|---|---|
>=60 days unused | Total | 31996 | 1018 | 11 | 8,8 | 00:35:05 | 26557,6 | 2456321 | 28-Jan-2016 | 64 |
govdb 28 شسيب αδε שגקяиуу.qvw | 2 | 1 | 1 | 2,0 | 00:36:09 | 9,8 | 356 | 5-Jan-2016 | 87 | |
governance dashboard 2.0.027.qvw | 15 | 4 | 1 | 6,0 | 00:30:33 | 56,2 | 1923 | 5-Jan-2016 | 87 | |
governance dashboard 2.0.030 for qlikcommunity.qvw | 41 | 4 | 1 | 1,5 | 00:42:23 | 49,9 | 2349 | 26-Jan-2016 | 66 | |
governance dashboard 2.0.032.qvw | 2 | 1 | 1 | 6,0 | 00:31:21 | 7,2 | 321 | 25-Jan-2016 | 67 | |
governance dashboard 2.0.033.qvw | 15 | 3 | 1 | 3,1 | 00:23:44 | 30,9 | 1393 | 26-Jan-2016 | 66 | |
governance dashboard 2.0.035.qvw | 13 | 3 | 1 | 0,9 | 00:35:08 | 18,6 | 920 | 28-Jan-2016 | 64 | |
movies database.qvw | 2 | 2 | 1 | 0,5 | 00:15:08 | 0,9 | 30 | 8-Jan-2016 | 84 | |
qlikview developer toolkit.qvw | 1 | 1 | 1 | 0,0 | 00:30:04 | 0,3 | 7 | 6-Jan-2016 | 86 | |
retail store performance.qvw | 1 | 1 | 1 | 2,0 | 00:30:20 | 1,4 | 52 | 5-Jan-2016 | 87 | |
sales 360.qvw | 31894 | 1007 | 1 | 8,8 | 00:35:05 | 26378,6 | 2448253 | 25-Jan-2016 | 67 | |
supermultibyteappشسي.qvw | 10 | 6 | 1 | 11,7 | 00:23:44 | 3,8 | 717 | 20-Jan-2016 | 72 | |
>=90 days unused | 1 | 1 | 1 | 0,0 | 00:30:06 | 0,0 | 1 | 30-Dec-2015 | 93 | |
>=150 days unused | 3 | 3 | 1 | 5,3 | 00:30:48 | 1,3 | 94 | 6-Oct-2015 | 178 |
So I've just added a calculated dimension
=Aggr('>=' &Floor(Today()-max(daystart(Session_Start)),30) &' days unused',DocName)
to the usage detail graph.
Adapt to your needs.
Have a look into the governance dashboard, this information should be available there (or it should be easy to create a chart based on its data model).
Hi Swuehl,
I checked on Givernance dashboard, it has applications based on last usage. but My requirement is I want to list of application which are not used in the 30 days frame & 30-60 days frame.
please give a logic how to get that
Thanks
PR
Hi any help from any one..
Well, the data is already there in the governance dashboard.
You just need to modify the graph to group by unused time period, maybe similar to this:
=Aggr('>=' &Floor(Today()-max(daystart(Session_Start)),30) &' days unused',DocName) | Doc | Sessions | Unique Users | Unique Docs | Avg. # Selections | Avg Duration | MBytes Sent + Rec'd | Session Calls | Last Accessed | Days Since Last Session |
---|---|---|---|---|---|---|---|---|---|---|
>=60 days unused | Total | 31996 | 1018 | 11 | 8,8 | 00:35:05 | 26557,6 | 2456321 | 28-Jan-2016 | 64 |
govdb 28 شسيب αδε שגקяиуу.qvw | 2 | 1 | 1 | 2,0 | 00:36:09 | 9,8 | 356 | 5-Jan-2016 | 87 | |
governance dashboard 2.0.027.qvw | 15 | 4 | 1 | 6,0 | 00:30:33 | 56,2 | 1923 | 5-Jan-2016 | 87 | |
governance dashboard 2.0.030 for qlikcommunity.qvw | 41 | 4 | 1 | 1,5 | 00:42:23 | 49,9 | 2349 | 26-Jan-2016 | 66 | |
governance dashboard 2.0.032.qvw | 2 | 1 | 1 | 6,0 | 00:31:21 | 7,2 | 321 | 25-Jan-2016 | 67 | |
governance dashboard 2.0.033.qvw | 15 | 3 | 1 | 3,1 | 00:23:44 | 30,9 | 1393 | 26-Jan-2016 | 66 | |
governance dashboard 2.0.035.qvw | 13 | 3 | 1 | 0,9 | 00:35:08 | 18,6 | 920 | 28-Jan-2016 | 64 | |
movies database.qvw | 2 | 2 | 1 | 0,5 | 00:15:08 | 0,9 | 30 | 8-Jan-2016 | 84 | |
qlikview developer toolkit.qvw | 1 | 1 | 1 | 0,0 | 00:30:04 | 0,3 | 7 | 6-Jan-2016 | 86 | |
retail store performance.qvw | 1 | 1 | 1 | 2,0 | 00:30:20 | 1,4 | 52 | 5-Jan-2016 | 87 | |
sales 360.qvw | 31894 | 1007 | 1 | 8,8 | 00:35:05 | 26378,6 | 2448253 | 25-Jan-2016 | 67 | |
supermultibyteappشسي.qvw | 10 | 6 | 1 | 11,7 | 00:23:44 | 3,8 | 717 | 20-Jan-2016 | 72 | |
>=90 days unused | 1 | 1 | 1 | 0,0 | 00:30:06 | 0,0 | 1 | 30-Dec-2015 | 93 | |
>=150 days unused | 3 | 3 | 1 | 5,3 | 00:30:48 | 1,3 | 94 | 6-Oct-2015 | 178 |
So I've just added a calculated dimension
=Aggr('>=' &Floor(Today()-max(daystart(Session_Start)),30) &' days unused',DocName)
to the usage detail graph.
Adapt to your needs.
Hi Swuehl,
Thank you for your help. I will work on this.
Thanks
PR
Hi Swuehl,
this logic worked as expected. thank you very much for your help.
=Aggr('>=' &Floor(Today()-max(daystart(Session_Start)),30) &' days unused',DocName)
Thanks
PR