Keller Graduate School of Management supports students at every step in their educational journey
Company Size
1,000+
Region
- America
Country
- United States
Product
- IBM Cognos Business Intelligence
- IBM SPSS Statistics
Tech Stack
- IBM Analytics
- Data Integration
- Statistical Analysis
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Education
Applicable Functions
- Human Resources
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
The Keller Graduate School of Management is a part of DeVry University, a private for-profit university in the United States. The school is committed to providing quality education and strong outcomes for its students. It aims to know and serve its students better than any other university. The school is working towards more personalized learning experiences by better understanding what works best for particular students. This approach is aimed at optimizing the use of student care resources and providing an exceptional experience for the students.
The Challenge
The Keller Graduate School of Management at DeVry University was facing a challenge in identifying students who were at risk of dropping out or performing poorly. The university's focus on independent learning made it difficult to spot struggling students early enough to offer them the necessary support. The university wanted to intervene early to prevent such students from becoming increasingly disengaged and eventually leaving their courses. The goal was to provide more personalized learning experiences by better understanding what works best for particular students, thereby optimizing the use of student care resources and providing an exceptional experience for the students.
The Solution
The Keller Graduate School of Management decided to build a 360-degree profile of each student using IBM Analytics solutions. The school collected and integrated information from multiple sources, including databases for admissions, courses, finances, and net promotor score (NPS) surveys. This integrated data was then used to create a comprehensive profile of each student, which was made available to users across the university for analysis and displayed on campus dashboards that show real-time student retention and performance figures. Using advanced statistical analysis, the school was able to identify students who were most at risk of dropping out or performing poorly. With these insights, the school could take early action to help students re-engage with their courses and get back on track.
Operational Impact
Quantitative Benefit
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