This Tableau accelerator empowers enrollment management professionals to optimize their recruitment strategies and make data-informed decisions throughout the admissions cycle. By providing a comprehensive view of key performance indicators (KPIs), this dashboard enables institutions to:

* **Assess where they stand in your admission process and how it trends over the past weeks**
* **Appraise their admissions funnel**
* **Identify the most attractive and selective programs**
* **Focus recruiting efforts on programs that need it most**
* **Assess improvements in terms of selectivity and attractiveness across intakes**

*In the academic world, “enrollment management” is a strategic approach to student recruitment and retention. This dashboard specifically addresses the "admissions" process, a crucial aspect of enrollment management, which is how universities and colleges recruit and enroll new students. This process typically happens in three distinct stages:*

* ***Application***\*: Candidates submit their application, which is reviewed.\*
* ***Acceptance***\*: After a selection process, applicants are notified of their acceptance or rejection.\*
* ***Enrollment***\*: If the candidate accepts their admission, they are considered an enrolled student. If they decline, they are considered lost.\*

[Demo video](https://youtu.be/at7QDtdRHdw)

Answer key business questions

* How many new applications have we been able to generate?
* What proportion of applicants choose to enroll after being offered admission?
* What are the top intake programs and what is their impact on the total enrollment?
* How fast are we able to recruit students?
* How attractive and selective are we compared to the competition?

Monitor and improve KPIs
*Applications*

* **Applications**: Total number of applications received (including invalid applications)
* **Invalid Applications**: Total number of applications that are invalid (missing document for instance)
* **Valid Applications**: Total number of applications (excluding invalid applications)
* **Withdrawn**: Number of valid applications that were withdrawn by the applicant before being evaluated
* **Withdrawn %**: Share of applications that was withdrawn by the applicant before being evaluated (expressed in %)
* **Applications Under Review**: Total number of applications that are being reviewed
* **Evaluated Applications**: Number of applications that were evaluated (Accepted or Rejected)
* **Rejected**: Number of applications that were rejected

*Acceptance*

* **Admitted**: Total number of applications that were admitted
* **Lost**: Total number of applicants who were accepted and who finally declined it
* **Admitted (total)**: Total number of admitted applications whether they have the status "Admitted", "Lost" or "Enrolled"
* **Acceptance Rate**: Share of Admitted applications on total evaluated admissions. Typically measures the selectivity of the academy.

*Enrollment*

* **Enrolled**: Total number of enrolled students
* **Enrolled+Lost**: Total number of enrolled and lost students
* **Yield Rate**: Share of admitted applicants who were enrolled. Represents the attractivity of the academy.

### **Required attributes**

* **Academic Period** (string, Individual Application Object): Name of the intake (e.g. "Fall 2019", "2019/2020"...)
* **Learning Program Name** (string, Learning Program Object): Academic program that the applicant is applying for admission.
* **Due Date** (date, Individual Application Object): End date of the application period for this program
* **AppliedDate** (date, Individual Application Object): Date of application submission.
* **Application Status** (string, Individual Application): Expected values:
    * “Application Decision”
    * "In Review"
    * "Canceled
    * "Incomplete"
    * "Processing"
    * "Ready For Decision"
    * "Reviewed”

### **Understand the Data Model Requirements**

This version of the Academic Admissions Accelerator has been updated to be compatible with the [Salesforce Education Cloud Data Model](https://developer.salesforce.com/docs/atlas.en-us.edu_cloud_dev_guide.meta/edu_cloud_dev_guide/edu_cloud_data_model_overview.htm). It relies on data from these [Standard Education Cloud Objects](https://developer.salesforce.com/docs/atlas.en-us.edu_cloud_dev_guide.meta/edu_cloud_dev_guide/edu_cloud_standard_objects.htm):

* Individual Application
* Account (labeled as “Individual Application Person Account” and joined to “Individual Application” Object in the Accelerator’s Data Model)
* Application Decision
* Contact
* Academic Term
* Program Term Application Timeline
* Learning Program
* Learning
* Account (second instance of Account object joined to “Learning” object)
* Record Type

If you are using the legacy [Education Data Architecture (EDA) data model](https://help.salesforce.com/s/articleView?id=sfdo.education_data_architecture.htm&type=5), please use this version of the[ Academic Admissions Process accelerator](https://exchange.tableau.com/products/818).

Salesforce Education Cloud - Academic Admissions Process

Assess your admissions process with data in Salesforce's Education Cloud data model.