建立学生规划+收入模型的“超级系统”
公司规模
1,000+
地区
- Europe
国家
- United Kingdom
产品
- Alteryx
- Tableau
- IBM Cognos
技术栈
- Data Analytics
- Data Visualization
- Data Warehousing
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 数据即服务
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 教育
适用功能
- 商业运营
服务
- 数据科学服务
关于客户
诺丁汉大学是英国最大的大学和研究机构之一。它在英国几大大学排行榜中名列前 20 名，并跻身全球前 100 名大学之列。该大学培养了许多杰出校友，并创造了许多突破性的发明，包括 MRI 扫描仪。该大学拥有来自世界各地的约 45,000 名学生，分布在诺丁汉、马来西亚和中国的多个校区。该大学与世界各地的其他大学和公司有着密切的联系，提供 800 多门课程，涵盖医学、科学和工程、社会科学和艺术等各个领域。
挑战
诺丁汉大学是英国最大的大学之一，该大学每年需要预测其学生人数和相关收入，以便分配部门预算。规划和绩效团队负责收集和分析全球数千名学生的多达 900 万条数据记录，以准确模拟预期的学生人数和活动。但是，由于 56 个部门需要深入的分析粒度和五年预测，因此计算非常复杂。到 2015 年，该团队迫切需要一个更具动态的学生规划模型，该模型可以提高粒度并随后改善决策，同时与 Tableau 的数据可视化配合使用。该任务是处理学生规划和预测的所有报告以及为 HESA（高等教育统计局）验证数据，该机构负责收集有关英国高等教育的定量数据。
解决方案
诺丁汉大学的规划和绩效团队最初利用 Alteryx 来清理和准备 Tableau 的数据，方法是完全废弃数据仓库中的学生元素，并在 Alteryx 中重建一个包含 10 年学生数据的新数据集。如今，所有学生规划和资金的分析和预测都是通过 Alteryx 进行的。该大学的院系分为 56 个预算单位，所有部门都希望了解 15 种不同的收入来源。加上 24 种学生类型、提供的所有课程，需要建模的单元超过 80 亿个。深入研究学生历史可以揭示当前、返校和新生人数、他们将学习什么以及预计的费用和其他资金收入。然后，团队添加了更复杂的查询以提供更深入的见解，例如谁是全日制还是非全日制、本科生、研究生还是研究生研究型、哪些学生是国内学生还是海外学生、谁是在课程中途加入的等等。一旦循环完成，结果将传输到 Tableau 进行检查，然后再将报告分发给大学部门或将数据提交给 HESA。
运营影响
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