Course Information
Schedules
- 4 Jun 2024 (Tue)
Registration period
9 Apr 2024 (Tue) - 3 Jun 2024 (Mon)
Price
HKD 9,000
CEF Reimbursable
(HKMA Member: HK$8,500
Non-member: HK$9,000
Group Discount: HK$1,000 less per person For two or more participants enrolling at the same time for the same intake of the programme.
Early Bird Discount: HK$1,000 less per person For enrollment and payment received on or before 21 February 2024.)
CEF Reimbursable
(HKMA Member: HK$8,500
Non-member: HK$9,000
Group Discount: HK$1,000 less per person For two or more participants enrolling at the same time for the same intake of the programme.
Early Bird Discount: HK$1,000 less per person For enrollment and payment received on or before 21 February 2024.)
Study Mode
Duration
1 Month(s)
Language
Cantonese, English
Location
-
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Course Overview
INTRODUCTION
Data will be the backbone of successful future businesses.
Although Big Data has emerged only in the past several
years, it is rapidly and profoundly changing our society,
environment, economy, even our daily lives.
This 15-hour programme is designed for business executives
and data professionals seeking both strategic and practical
knowledge on how organizations can leverage data as a
growth engine, make effective data-driven decisions, and
unleash their ultimate value as assets.
What You’ll Learn
TOPICS
Module 1: Digital Economy
• Important milestones, major issues and future trends of
the digital economy, Hong Kong, Mainland China and
international
• How to assess your organizaton’s digital maturity and
data needs
• Case Study: Digital transformation cases, learning from
successes and failures
• Leveraging the best practices of “City Big Data” for
business application
Module 2: Unlocking the Value of Data, Turning Data to
Diamonds
• What is Big Data? Characteristics and important
differentiation from other data resource
• Why Data Flywheel is essential for digital transformation
• The five essential stages of data-driven transformation
• Overcoming common obstacles in digital (datadriven) transformation, e.g. weak external perspective,
continuous reinvention and discovery of data, planning
before moving vs small steps
• “Data-driven” business cases
• Workshop: Believe, surprise, and worry about data
Module 3: Harnessing Data for Growth
• A step-by-step approach to data-driven transformation
• Importance of business context in data strategy and
implementation
• How to use data resources to drive business innovation
• Dealing with challenges during digital transformation
• Essential data architect
• Workshop: Practical examples and exercises
Module 4: Four Modus Operandi for Implementation
• Modus Operandi 1: Managing data as assets
• Modus Operandi 2: Making data easy-to-use
• Modus Operandi 3: Building data-oriented culture
• Modus Operandi 4: Building bridges among data silos
Module 5: Data Law, Compliance & Principles
• The data law landscape in Hong Kong (DPP Principles)
and Mainland China
• Comparative analysis of the two regimes, significant
similarities and differences
• Privacy Management: collection, processing, retention,
rights of data subjects
• Data Infrastructure: inventory, mapping, assessment,
impact
• Product Design: GDPR and privacy-by-design
• Top-down policy design and implementation
• Privacy Implementation: privacy awareness and training
• Data Privacy in Action: M&A and divestitures
• Incident Response: breach d
