Case Study -Â HKUST
URAO Data Visualisation
Background
The Hong Kong University of Science and Technology (HKUST) is a prominent public research university in Hong Kong. Through unwavering commitment to excellence, HKUST has established itself as a global leader in higher education, making significant contributions across various fields, including life sciences, engineering, business, humanities, and social sciences.
Challenges
As HKUST gains global prominence, the University Recruitment and Admission Office (URAO) processes over 80,000 applications each year. This substantial volume creates a large submission database, but the quality of the data is compromised by typos, manual errors, and duplicates, resulting in low accuracy. Additionally, students often lack incentives to provide accurate and complete contact information. These challenges complicate data integration and standardization, making it difficult to deliver consistent reports and derive meaningful insights from years of recruitment and admission data sourced from various channels.
Objectives
1
Redesign Workflows
Streamline data collection, consolidation, and reporting processes to improve efficiency.
2
Enhance Data Quality
Implement guidelines to enhance the accuracy and consistency of collected data.
3
Holistic Data Analysis
Analyze four years (and forthcoming) of recruitment and admission data, encompassing over 80,000 applicants annually.
4
Diverse Reporting
Deliver over 30 insightful reports, analyzing data from multiple perspectives.
5
Incentivize Accuracy
Develop strategies to motivate target audiences to provide accurate and complete contact information.
Our Solution
We provided a comprehensive 4-step solution focused on developing a new data collection, consolidation, and reporting workflow, along with clear guidelines.
Step 1: Data Collection
Step 2: Data Integration and Consolidation
Step 3: Reporting
Step 4: Guidelines
Benefits of Our Solution
Simplified Workflow
Streamlines the data collection, integration, and reporting processes, reducing complexity and enhancing overall efficiency.
Reduced Build Time
Decreases the time required to generate reports from hours to mere minutes, allowing for quicker insights and decision-making.
Enhanced Flexibility
Provides the capability to easily create and customize various analyses and reports, adapting to the evolving needs of stakeholders.
Improved Accuracy
By implementing robust data cleansing and standardization procedures, the solution enhances the reliability and consistency of the data collected.
Comprehensive Report
Enables the delivery of over 30 detailed reports, facilitating in-depth analysis from multiple perspectives to inform strategic decisions.
User-Friendly
Utilizes Tableau for dynamic data visualization, allowing users to interpret complex datasets through intuitive charts and graphs.
Motivation for Accuracy
Encourages students to provide complete and correct contact information through targeted incentives, improving data quality.
Future-Ready
Establishes a scalable framework that can accommodate future growth in application volume and data complexity, ensuring long-term sustainability.