On the morning of August 23, 2025, the Institute of Human Resource and Business Development (HUREDIN), in collaboration with HKU Business School (The University of Hong Kong), successfully conducted a Sample Class on Big Data-Driven Decision Making in Consumer Data at the University of Economics Ho Chi Minh City (UEH).
Strong Industry Participation
The program attracted over 50 participants, including middle managers, senior experts, and HR and L&D professionals representing various business sectors and industries. The session served as both an educational platform and a practical forum for exploring the strategic application of Big Data in management and business decision-making processes.
Comprehensive Curriculum and Practical Applications
Under the expert guidance of Associate Professor Phan Quang Tuan from HKU Business School, participants were equipped with:
- Five Essential Data Analysis Frameworks: Descriptive, Prescriptive, Behavioral, Predictive, and Causal/Recommendation analytics
- Advanced Big Data Methodologies: Text mining, image analysis, social network analytics, and location-based intelligence
- Analytics for Executives Tool (AET): An exclusive, user-friendly platform enabling managers to make data-informed decisions without programming knowledge
- Real-World Case Studies: Practical mini-cases examining the food industry, consumer behavior patterns at Changi Airport, Facebook data security challenges, and predicting academic performance through social network analysis
Key Program Benefits
Beyond technical knowledge acquisition, participants gained:
- Direct access to HKU experts for in-depth Q&A sessions and professional exchange
- Valuable networking opportunities with managers and experts across diverse industries
- Strategic insights into transforming from intuition-based to data-driven decision-making—a critical competency for effective leadership in the digital era
Acknowledgments
HUREDIN extends its deepest gratitude to Associate Professor Phan Quang Tuan from HKU Business School for delivering comprehensive insights, relevant case studies, and practical tool demonstrations that effectively illustrated the transition from intuitive to evidence-based decision-making.
We also thank all participants for their active engagement, thoughtful questions, and valuable contributions, which significantly enhanced the program’s impact and practical relevance.
