Jamie Pryer

RSA IGL Recipes: Weekly Trending, Single Series Chart - Joiners

Blog Post created by Jamie Pryer Employee on Jul 2, 2020

RSA IGL Version: V7.1x & V7.2x

Modules: Governance

Product Area: Charts, Single Series

Note: A summary of all RSA IGL recipes can be found here: (TBC)

Time to apply: ~20 minutes

Please share your results and ideas below!

 

Summary:

This recipe shows you how to create a very simple chart, displaying the total number of joiners you have had each week, over the previous 10 weeks.

You can use this data to understand trending within your organisation and potentially look into how automation of the joiners process, could save you time/money

 

Blog Contents:

 

Prerequisites:

  • RSA IGL v7.1x or v7.2x
  • Identity data collections running, with some new joiners in the environment 

 

Make sure you thoroughly test any changes in lower environments first before promoting them to Production.

 

 

Optional Changes to the Chart

If you want to change this chart to display more/less than 10 weeks, you need to update 2 key values in the SQL. 

  1. "CONNECT BY LEVEL <= 10" - the 10 here, is the number of weeks you want to display, so you could change this to be 8 or 15
  2. "where creation_date > sysdate - 70 " - the 70 here, is the number of total days, depending on how many weeks you have selected.
    • So if you have 8 weeks, you would have 8weeks * 7 days = 56
    • So if you have 12 weeks, you would have 12weeks * 7 = 84

I would strongly recommended you do not have too many weeks, otherwise it will not display very well in the UI. 

 

The SQL to use:

Please test this works first, within your environment. 

(select * from 
(select
     T1.tmpWeek as "Week",
     CASE WHEN T2.TotalPerWeek IS NULL THEN CAST(('0') AS NUMBER(20)) ELSE CAST(T2.TotalPerWeek AS NUMBER(20)) END AS "# Joiners"
from
     (
     SELECT
          to_char(sysdate - (7 * level) +7,'YYYYMMDD') as FullDate,
          to_char(sysdate - (7 * level) +7,'WW') as tmpWeek
     FROM dual
     CONNECT BY LEVEL <= 10
     ) t1
left join
     (
     select
          'Joiners' as AppAction,
          tmpWeek,
          count(creation_date) as TotalPerWeek
     from
          (
          select distinct
               ID,
               creation_date,
               to_char(creation_date,'WW') as tmpWeek
          from avuser.pv_users
          where creation_date > sysdate - 70
          )
          group by tmpWeek
     ) t2
ON t2.tmpWeek = t1.tmpWeek
order by FullDate asc)
)

 

The output looks like this in my environment. Showing that there were 1651 new joiners in week 23 of this year and 13 new joiners in week 27 of this year. 

 

 

Steps to create within the RSA IGL UI

  1. Log into RSA IGL as a user who can create charts. In my example, im using AveksaAdmin
  2. Go to "Reports" / "Charts"
  3. Select "+ Create Chart" button
  4. Under the "General Tab" add the following details:
    • Name
    • Description
    • Type = Single Series Chart
  5. Under the "Query" Tab, copy the SQL from above and hit "Preview", you should see some results.

    If you get an error at this stage, please test your SQL in a Query tool, like "SQL Developer" or "SQL Squirrel" to ensure it works first.
    If it still doesn't work, please share your SQL and a screen shot of the issue below.
  6. Under the "Columns" Tab, please use the configuration shown in the image below
  7. Under the "Display Attributes" tab, you should select "Style = Line". Please also apply these settings
    • Under "Title and Axis Names"
      • Caption: "Total New Joiners Per Week"
      • Sub Caption: "For the Previous 10 Weeks"
      • X Axis Name: "Week #"
      • Y Axis Name: Total New Joiners
    • Under "Functional attributes"
      • Select "Animation" checkbox (ticked)
      • Select "Show Labels" (Ticked)
      • Select "Show Values" (Ticked)

There are MANY other "display attributes" you can play with on this screen, so please update and make changes as you see fit. 

Final Result

 

 

Next Steps

Add this chart to a dashboard, so you can easily see the data.

Outcomes