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Hi,
Help me come up with the dashboard design
I'm new to qliksense and the task i have is to create the dashboard for analyzing the users and usage
below is just example
Users:
A dashboard should give a How many users are active
Total users count-
Sessions:
Table view
Which user -- on which module (main link-), # of hits ---per day basis
-- No of screens(sub link) and which screen and url
(total # of hits of each hit on Screen and Screens)
condition for joining three tables
select distinct yser_id from USERS a, U_LOGINS b, USAGE_METRICS c
join on a,userid=b.serid and b.SESSION_ID = c. session_id
below are the columns used.
Users | U_logins | Usage_metrics | |||
---|---|---|---|---|---|
userID | login seq id | metrics_id | |||
FN | userID | Audit_time | |||
LN | login time | remote_ip | |||
created_date //access given to user to login to website | created by | logout time | remote host | ||
last_update date | login_ip | url | |||
last_updated_by | session_id | module name // first link | |||
user_band | status | screen name // second link | |||
title | appid | response time | |||
active | userID | ||||
location | sessionID // | ||||
location address | Referer | ||||
location type |
Hello,
So to get the monthly active users, you can do a count distinct on the user ID by creating a year(login time) & "- "& month( login time).
So basically you would have a dimension called month(Login Time) and a measure count(DISTINCT userID)
You can also do as a dimension class(login seq id, 5) to group the number of times they have logged in, add location, and verify on status active.
On the url, I guess this is the entry url and referrer url, you can do the same with count (distinct sessionID) you understand how many visits landed into your site by entry url or by referrer as dimensions.
To understand how many users come back to your site, repetead visits, you would check how many userID contain more than one sessionID. You could also check the time between sessionID to understand if they come back on the same day or different days.
Here is an example of Google analytics.
users table is the all the users
User_logins is the one has licence holders and usage matrics shows the logged
License holders that have not logged in within the period of report - (running report
License holders that have never logged in within 90 days - (running report)