Australian Schools Boost Student Success, Reduce Attrition by 13% — with AI
Customer Company Size
Large Corporate
Region
- Pacific
Country
- Australia
Product
- DataRobot AI Cloud
- AutoML
Tech Stack
- Machine Learning
- Predictive Analytics
- Alteryx
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Revenue Growth
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Education
Applicable Functions
- Human Resources
- Business Operation
Use Cases
- Predictive Maintenance
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Catholic Education Diocese of Parramatta (CEDP) is an educational institution that serves one of the fastest-growing areas of New South Wales with 80 schools across Western Sydney and the Blue Mountains. The institution is known for its innovative approach to education, offering highly successful trade training programs, vocational education and training programs across 26 sites, and a virtual School of Now. CEDP is committed to using innovation and new thinking to connect students to real-world opportunities. The institution holds a wealth of data on its students, from performance to attendance to demographics.
The Challenge
Catholic Education Diocese of Parramatta (CEDP) is an educational institution with 80 schools and 44,500 students across New South Wales. The institution holds a wealth of data on its students, from performance to attendance to demographics. However, CEDP lacked the internal resources to mine this data to improve student performance and advance operational goals. They sought a solution that could help them leverage this data to enhance student success and operations.
The Solution
CEDP turned to DataRobot AI Cloud for automated machine learning. The platform stood out for its essential explainability, documentation, and the fact that, as a stand-alone platform, it would plug into CEDP’s existing data sources, mainly Alteryx. CEDP began applying AutoML to predicting achievement for students in their last year of high school. For that, CEDP could tap into more than a decade worth of data. DataRobot AI Cloud simplifies the entire lifecycle, from model preparation to building to monitoring. The platform runs through numerous models, enabling Dr. Varanasi and a small team of analysts to determine which one is the most effective.
Operational Impact
Quantitative Benefit
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