Empowering Students Using Qlik AutoML at Weber State University
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Qlik AutoML
技术栈
- Data warehouse
- Analytics Dashboards
- Argos
- Survey tools
- Retention tool
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
- 商业运营
用例
- 质量预测分析
- 补货预测
服务
- 数据科学服务
关于客户
Weber State University is a state-funded community college as well as a bachelor’s-, master’s-, and — as of recently — doctoral-granting institution in Utah. They are non-selective in which applicants can attend, attracting students from varied educational backgrounds including many developmental students that need additional help in math or English composition. The university has a mission to close the skills gap for these types of students, and they have seen big gains over the last three years.
挑战
Weber State University (WSU) began using Qlik AutoML in late Q1 2020, right as the pandemic took hold in the US. As Covid-19 wreaked havoc, the university had difficult decisions to make about where to allot resources in the midst of self-described “survival mode.” A combination of the right power at the right price made Qlik AutoML a viable choice even in uncertain times as a method to empower, support, and retain their students in a quickly-changing world. After a trial month with Qlik AutoML, decision-makers saw value thanks to Qlik AutoML’s ability to translate something complicated to something understandable, making it easier to share with stakeholders with and without technology backgrounds. With limited funding, Qlik AutoML was a more attractive option because of its affordability compared to competitors and consultants that can incur “astronomical expenses,” according to WSU’s Heather Chapman, Director, Academic Analytics.
解决方案
WSU is using Qlik AutoML to fuel a variety of predictive analytics projects and to answer questions including: Persistence - Which students will persist (i.e. come back for the next term)? What are the characteristics of these students? Persistence is a key factor in getting funding for the university. Graduation - Which students were most likely to graduate? What impacted graduating students? Among their most impactful projects so far, WSU discovered that worry-free aid—aid that students did not have to pay back— dramatically impacted a student’s chances of graduating. Graduation is another key factor in determining funding. Accreditation - WSU incorporated predictive analytics into the accreditation process to help quantify and show that the degrees they issue are valuable and meaningful. WSU has many upcoming projects they want to try using Qlik AutoML. The ease and speed of Qlik AutoML is opening more room for idea exploration than previous methods of predictive analytics that required time-consuming, iterative processes.
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