Salesforce for Higher Education: Academic Operations and Faculty Management

System Foundation: The academic operations team or faculty members can manage the entire university structure within Salesforce. This provides a streamlined approach to organizing the academic hierarchy.
Hierarchical Levels:
- Institutes/University: The top-level entity representing the parent organization.
- Programs: Major fields of study or degrees offered under the university.
- Courses: Specific subjects or modules allocated to a particular program.
- Faculties: Individual educators or staff members assigned to specific courses.
Resource Allocation:
- Lab Allocations: Assigning specific laboratory spaces to courses within a program.
- Room Allocations: Managing classroom or lecture hall assignments to ensure there are no scheduling conflicts.
Enrollment Integration: When students enroll in a specific course, they are automatically tagged within the program hierarchy, ensuring data consistency across the management system.

Unified View: Faculties have access to a "Student 360" view, providing a comprehensive, single-screen dashboard for individual students (e.g., Sophia).
Core Performance Metrics: The dashboard displays real-time data including:
- GPA (Grade Point Average): Current academic standing.
- Absences: The total number of missed classes recorded.
- LMS Logins: The frequency of engagement with the Learning Management System.
- Library Logins: Data regarding how often the student utilizes library resources.
Direct Engagement Tools: Faculties can initiate actions directly from the student's profile, such as:
- Creating specific tasks for the student.
- Sending emails directly through the Salesforce interface.
Proactive Alerts: The system triggers notifications based on predefined faculty logic and criteria. These alerts notify the faculty of issues without requiring manual lookups. Common triggers include:
- Missed attendances.
- Low grades in specific assessments.
- Missed internal examinations.
- Outstanding tuition or facility fees.

Detailed Student Context: Faculties can view administrative details including the student's current program, specific course tags, outstanding financial balances, section assignments, and current semester.
Consent-Based Information: With appropriate consent management, faculties can also view non-academic details such as hostel/dormitory assignments and feedback submitted by the student.
Academic Performance Tracking:
- Faculties can view credit accumulation ( $19\,\text{credits}$ earned) and overall $3.2\,\text{CGPA}$ .
- Individual course grades are visible, allowing faculties to identify specific weaknesses (e.g., an $F$ grade in Software Engineering).
Student Success Planning: If a student is underperforming, the faculty can create a "Care Plan" or "Student Success Plan."
- Care Plan Templates: Faculties can use previously established templates to save time.
- Activity Monitoring: These plans include a set of tasks or activities that the faculty can monitor to ensure the student is meeting improvement milestones.

Performance Benchmarking: The system compares individual student performance against the class average to identify outliers.
- Example Analysis: A student with $12\,\text{absences}$ compared to a class average of $5\,\text{absences}$ , or a student GPA of $4$ compared to a class average of $2$ .
Issue Tracking: All concerns raised by the student are consolidated, categorized by type:
- Tuition-related issues.
- Academic grievances.
- Hostel or facility-related complaints.
Household and Relationship Concept: Salesforce allows faculties to view a student's family and social connections.
- Connected Siblings: Ability to see if a sibling (e.g., Taylor) is enrolled in the same university, what programs they are in, and their previous schooling details.
Appointment Scheduling: Faculties can schedule appointments with support staff, team members, or students directly from the dashboard.
- Features include choosing a topic, selecting the communication channel, and maintaining a summary page for notes and tracking during the meeting.
Timeline View: A chronological log of every activity a student has performed, including academic requests, leave requests, RFI (Request for Information) submissions, and WhatsApp cases raised with admin teams.

Predictive Analytics: Salesforce Einstein AI uses consolidated data to provide predictions that move beyond "gut decisions" toward data-driven insights.
Key Statistical Predictions:
- Likelihood to Persist: The probability that a student will remain enrolled (e.g., $60.19\%\,\text{likelihood to persist}$ ).
- Graduation Rates: Predictions for four-year and six-year graduation timelines for specific students.
AI-Guided Improvements: The system suggests specific actions to increase a student\'s success probability:
- Increase library logins to a specific threshold (e.g., $81.6$ ).
- Decrease class absences to $0$ (from an current value, such as $4$ ).
- Increase LMS engagement (e.g., targeting $107\,\text{logins}$ ).

Survey Management: Faculties can send course or program feedback surveys directly through the portal, eliminating the need for external tools like Google Forms.
Incentivized Feedback Automation: Systems can be configured to require feedback completion before academic milestones. For example:
- Students may be blocked from receiving an admit card or sitting for exams until faculty surveys are submitted.
Course Scheduling and Timetabling:
- Faculties can define start times, end times, and frequencies (e.g., Monday, Thursday, Friday) for courses like "Data Structure Lab."
- Location Assignment: Specific rooms are linked to the schedule.
Student Access: These schedules are consolidated into an event calendar visible on the student portal.
Bulk Data Handling: For institutions with existing schedules, Salesforce supports importing timetable details via Excel files.