Process Overview

Platinum Analytics and other related processes are dependent on a number of data elements and configuration steps to be fully functional.  The overall process for configuration and analysis is outlined below.

 

1.Configure System Settings

a.Default Analysis Campus

b.Degree audit system connection (if not Banner CAPP)

 

2.Perform Data Imports (create an import job for each import, OR can run all as a combined import)

 

3.Verify Quality Points and Student Statuses

 

4.Configure Student Load Templates  (need at least one default “catch all” template; recommend full time, part time, for both grad and undergrad)

 

5.Configure Student Availability Templates
 

6.Configure Courses (for Sectioning, Simulated Registration, and Planned Course Sandbox)

a.Default delivery method flag

b.Max # of sections

c.Min/Ideal/Max enrollment

 

7.Configure Global Course and/or Section Filters

a.Define data that should be excluded from the analysis (e.g. certain meeting types or parts of term)

b.Define data that should be removed from the results data (e.g. transfer, or other specific course numbers)

 

8.Configure Meeting Pattern Groups for time group analysis

 

9.Run Base Predictive Data  (only required for Simulated Registration, Predictive Program Analysis, and Program Template auto generation)

 

10.Configure Program Templates  (required for Planned Course Sandbox, Sectioning, and Simulated Registration)

Auto generation is available if Base Predictive data has been created

 

11.Create Simulated Student sandbox (required)

 

12.Run Simulated Registration

 

13.Run Program Analysis

 

14.Run Planned Courses Sandbox

 

15.Create Academic Plan Message Campaigns for students