Ensuring strong ROI in education: Gray Associates teams with Qlik to deliver powerful insights
公司规模
SME
地区
- America
国家
- United States
产品
- Qlik Sense
- Qlik AutoML
- PES+ GeoTargeting with Location Optimization
技术栈
- Data Analysis
- Artificial Intelligence
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 教育
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
- 供应链可见性(SCV)
- 质量预测分析
服务
- 数据科学服务
- 软件设计与工程服务
关于客户
Gray Associates is a company founded in 2002 and headquartered in Boston with representatives across the US. Initially a management consultancy, in 2010 it began to work with education institutions and has now transformed into a Software-as-a-Service (SaaS) business. Over ten years, it has amassed a huge bank of data assets and methodologies that it has combined into a proven method of identifying and predicting where institutions can reach the most students. The company uses Qlik to collect data from its educational clients and combine this with its own data and methodologies.
挑战
The traditional undergraduate education in the US is facing a decline, and the competition is increasing, especially with the advent of Covid-19 which has forced many institutions to move online. Budgets are tight, particularly for on-the-ground organizations that face the additional cost of maintaining buildings. It is vital that colleges and universities maximize returns when they are making large investments like opening a new campus or satellite. They must be sure that the site is right and must know the demographics of the students they aim to recruit. They must also pinpoint the best focus for their marketing spend. Obtaining this information requires the analysis of millions of lines of data, billions of highly complex calculations and input from the latest machine learning technologies.
解决方案
Gray Associates uses Qlik Sense to collect data from its educational clients and combine this with its own data and methodologies. Insights are derived from big data sources including US Census data, as well as competitive indicators such as regional job postings and matching programs from existing universities or trade schools. Qlik data is then brought into the automated machine learning program, Qlik AutoML, designed to simplify machine learning and artificial intelligence (AI). Not only are Qlik AutoML’s predictions operationalized into Qlik Sense for visualization, but the predicted dataset is enhanced with prediction influencers which explain how each attribute in the dataset influences the prediction. The results show how many students the client can reach by locating a campus near a particular region or spending more marketing dollars there. Colored heat maps make it easy to identify opportunities or drawbacks and clients have ongoing access to the results through Qlik Sense dashboards that are built, housed and managed by Gray Associates.
运营影响
数量效益
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