Beyond 12: Helping low-income and first-generation students move to higher education with Qlik AutoML
公司规模
SME
地区
- America
国家
- United States
产品
- Qlik AutoML
技术栈
- Predictive Analytics
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
适用行业
- 教育
适用功能
- 人力资源
用例
- 质量预测分析
服务
- 数据科学服务
关于客户
Beyond 12 is a technology-based services organization that aims to increase the number of low-income and first-generation students who graduate from U.S. colleges and universities. They serve students by empowering high schools to track alumni progress through college, connecting students to critical campus resources and to each other, and supporting students through college with a full-time staff of college coaches who are recent college graduates and from the same communities as the students they serve.
挑战
Beyond 12, a technology-based services organization, aims to increase the number of low-income and first-generation students who graduate from U.S. colleges and universities. However, they lacked a data scientist on staff who could build a predictive analytics model. They needed a robust in-house tool managed by their existing engineering staff for a viable and scalable solution. The objective was to refine Beyond 12’s approach to addressing their analytics needs and to provide coaches with a bird’s-eye view of their students. This would enable them to provide the right assistance to the right students at the right time.
解决方案
Beyond 12 decided to use Qlik AutoML to build a predictive analytics model. This model would allow Beyond 12 to identify which students need the most help and when, and influence the types of support that college coaches, the MyCoach app, and colleges themselves can provide. Qlik AutoML has the potential to give Beyond 12 the ability to leverage their historical data and past outcomes to provide coaches with a bird’s-eye view of their students. This would enable them to provide the right assistance to the right students at the right time.
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