Why attend this program?
- You want to learn different analytical approaches to strategic business decision-making
- You want to learn how to incorporate uncertainty in decision-making
- You want to learn the fundamental issues and approaches of Big Data
- You want to learn how to summarize, interpret and derive insights from data
Who should attend?
- seasoned with technical backgrounds such as finance, actuary, revenue management
- heading a team of technical experts with mandate to use data analytics for business success
- leading departmental heads with technical background as direct reports
Associate Professor, General Management, Strategy & Information Systems, Ivey Business School
This course is designed to offer an executive perspective on big data and related emerging technologies, and their impact on both private and public sectors. The course encompasses key concepts, analytical frameworks, real-life case studies, and future trends related to big data and digital technologies, with a focus on managerial decision-making in an increasingly digitized and globalized business environment. Specifically, we will examine the complexity of building technology platform for big data, analyze examples of leveraging big data in a competitive industry environment, discuss models and practices for acquiring big data capabilities, explore emerging markets and emerging technologies, and investigate the impact of big data on the future of global business, economy, and society.
- Leading the digital transformation journey
- Navigating the complexity of digital projects
- Developing digital technology in house
- Sourcing digital capability
- Exploring China's digital economy
- Understanding the foundations of digital technologies
- Sharing digital journeys: past, present, and future
- Digital application in your industries
- Exploring digital disruption and the future of society
This module will be delivered online via Zoom.
Assistant Professor, Marketing and Statistics, Ivey Business School
The first decade of the twenty-first century is the era of business analytics. The trends and innovations that have shaped the technology industry over the past several years. For example, Cloud computing has gone mainstream for many enterprises, and the Internet of Things (IoT) is changing how both industrial and consumer-oriented companies do business. The increasing popularity of social media has resulted in astounding growth in the amount of digital data available, Managers keep up to date on emerging digital information relevant to business. We are now determining how social media platforms can be leveraged to gain competitive strategy. This module will help you understand online behavior, firm advertising strategy, and market structure. The most important, the course identifies data sources that allow you to define and track performance indicators for your digital activities. The goal is for students to learn frameworks and methods that will allow them to generate valuable and actionable business insights from common social media sources.
Technology Trends and Business Analytics
- Technology trends and social media analytics
- The value of business analytics brings to business decision-making processes
- Brand Engagement Strategy
Online Social Networks
- Structure of social networks
- Leverage online social networks
- Engagement on social networks
- Managing and analyzing social interactions
- Online word-of-mouth
- Platform strategy
Artificial Intelligence and Visual Listening
- Neutral network and artificial intelligent
- Deep machine learning: Image mining and video mining
- Visual Listening and Video Streaming
Associate Professor, Faculty of Business and Economics, HKULearning Outcomes:
- AI Basics: A Non-technical Introduction
- AI Applications and Innovations
- Managing AI
- AI and Future Work
- Blockchain Technologies
- Leading Blockchain Platforms
- Smart Contract and Decentralized Apps
- Blockchain Applications in Financial Industry
- Blockchain Applications in Other Industries
Associate Dean (Executive Education), Patrick S C Poon Professor in Analytics and Innovation, Faculty of Business and Economics, HKU
Firms are creating and consuming vast amounts of information, leaving behind a trail of digitized (big) data. To be successful, firms need to use the data to drive their decision-making, often under uncertainty due to incomplete information. However, much of the promise from the information-rich digital recording of firm activities has failed to materialize as managers often find it difficult to translate (big) data into actionable policies and generate business value. This module offers discussions at both strategical and operational levels. We start with the introduction of big data and artificial intelligence through examples. We then discuss the analytics triangle of Question – Data – Analytics, and the right balance among them needed for effective data-driven decision making. We demonstrate how to ask “crunchy” questions with cases and problem sharing from the participants, and then introduce analytics techniques using examples from operations analytics and healthcare analytics. We also hear from guest speakers/past programme participants and conclude with an outlook of the future modules.
- Strategic Considerations of Data Analytics
- The Analytics Triangle: Question, Data, Analytics
- How to Ask Crunching Questions
- Pitfalls of Big Data
- Analytics Techniques
- Operations Analytics
- Healthcare Analytics/Precision Medicine
Software used in class: JMP
After completing the program, you will gain insight in:
- methods to analyze data to improve understanding of complex business issues
- the role of data in creating and sustaining competitive advantage.
- recognition of opportunities where achieving an understanding of data or analyzing data can lead to enhanced performance or profitability.
Program Dates and Fee*
Module 1: Leading Digital Transformation and Disruption (online sessions)
June 15-16 & 22-23, 2020
This module will be delivered online from 9:00am to 12:00 noon GMT +8 (Hong Kong time) each day.
Module 2: Social Media Analytics and Digital Strategy
August 10-11, 2020
Module 3: AI and Blockchain Innovations
September 14-15, 2020
Module 4: Data, Analytics, Business Value
October 12-13, 2020
Fee: USD 2,200 per module. Extra USD 400 discount for Module 1 registrations.
*Discount applicable for early bird registrations on or before April 30, 2020.
*Special 5% discount available for HKU/Ivey alumni or ≧ 3 registrations from the same company.
Participants will be conferred a certificate jointly issued by HKU and Ivey upon completing all 4 modules of the program.