Big-Data Driven Decision Making in Consumer Data
For many years, managers have relied on experience and intuition to make decisions. Yet in today’s fast-changing environment, this approach carries significant risks: strategic missteps, missed opportunities, and challenges in persuading teams.
By 2025, global data is projected to reach 175 zettabytes—more than four times the volume in 2020. Research shows that 90% of large corporations consider data a critical factor in strategy, and companies that leverage data in decision-making achieve higher productivity and greater profitability compared to their competitors.
Clearly, data-driven decision making is no longer just a trend; it has become an essential capability for leaders to sustain their position and guide organizations toward long-term growth. In response, HUREDIN, in collaboration with the HKU Business School, is hosting a sample class on “Big-Data Driven Decision Making in Consumer Data.” The session introduces modern methods and tools in analytics designed specifically for managers and executives.
The class is tailored for professionals and managers with 5–15 years of experience, including:
- Middle managers and functional leaders who wish to strengthen their decision-making capabilities and advance their careers.
- Senior professionals and aspiring executives seeking to update their knowledge of Big Data and executive-level decision-making tools.
- HR and L&D managers interested in Executive Education programs to upskill their workforce.
A Learning Journey with a Big Data & Consumer Insights Expert
This Sample Class will be led by Prof. Phan Quang Tuan, Associate Professor of Marketing at HKU Business School. With deep expertise in Big Data, consumer behavior, and digital platforms, Professor Phan connects advanced analytics with practical business applications. Under his guidance, participants will explore real-world case studies—from food analytics and film investment to text and image analysis, education data, and consumer insights at Changi Airport—gaining a hands-on understanding of how data can drive strategic decision-making.
Through the session, attendees will:
Understand the five types of analytics: Descriptive, Optimization, Behavioral, Predictive, and Prescriptive.
Gain exposure to Big Data methods, including text, image, social network, and location analysis.
Learn how to transform consumer data into actionable business outcomes.
Experience the Analytics for Executives Tool (AET)—a non-programming tool designed specifically for leaders.
Seats are limited. This is a selective event: applications will be reviewed, and official invitations will be sent via email to confirmed participants.
