CIO Leaders Summit Hong Kong 2016 2016.6.22

1. Opportunities and Challenges in
Data Innovation
Charles Mok
​Legislative Councillor (Information Technology)
2016.6.22 @ CIO Leaders Summit

2. “Big data is like teenage sex:
everyone talks about it, nobody really knows how to do
it, everyone thinks everyone else is doing it, so
everyone claims they are doing it...”
Dan Ariely, Duke University

3. Different interpretation of the same term
Source: Big Data @ Work Survey 2012
IBM Institute for Business Value / Saïd Business School
at the University of Oxford

4. Are you leading your company
to compete and win in this dynamic
environment via data?

5. Getting data is the easier part,
how to get visible, actionable insights
onto dashboard and reports?

6. What problem are you trying to solve?
drive sales?
save costs?
create loyal customers?
improve efficiency?

7. Moving towards data-driven
operations and decisions

8. Customer
analytics
● deliver new customer-
centric products and
services
● quickly seizing market
opportunities
● make costs lower and
more predictable

9. Engineering the ‘Recommendations’

10. A shop that knows what you like
(before you do)
200 million customer accounts
1,000,000,000 GB of data
more than 1,400,000 servers
Increase sales through
predictive analytics

11. Walmart’s data-powered makeover

13. What does it mean for film/TV industry?
Help a film find its audience
data is being collected on how people are consuming content
informs how media content is being created and released
Helps promote the film with better promotions
analyzing responses, feedback, and buzz and shaping their marketing
pushes around immediate responses

14. Business intelligence and analytics
extensive, real-time data availability
automated, immediate use in decision making and action taking
empower companies to make decisions in a quick and nimble way in
response to market changes

15. Challenges:
Data privacy
Info Security
Compliance

16. Cross-border data operations
Dispersed data storage in multiple
jurisdictions through cloud
Outsource data processing
procedures to contractors around
the world.

17. FAQs
How to know the location at any point in time, its security, and who will have
access?
What laws must I follow when engaging a cloud service provider to store personal
data in a cloud server that is accessible outside Hong Kong?
How can my company achieve regulatory compliance with the data protection
regulations in my jurisdiction?

18. Cloud and security with data innovation
Maintaining ownership and control of data
Info on 3rd party service and distributed infrastructure
Deliver resiliency, availability and flexibility of cloud services

19. Hong Kong: Section 33 Personal Data (Privacy) Ordinance
● prohibits the transfer of personal data to places outside Hong Kong unless
one of a number of conditions is met.
● Data users who, without reasonable excuse, contravene Section 33 commit
an offence under Section 64A of the Ordinance which carries a fine of up to
HK$10,000.
● The Commissioner may also issue enforcement notices
The only provision in the PDPO not been executed since 1995

21. Incidents of data
leakage or loss

22. How businesses should prepare?
Protect consumers
Sharing best practices
Partnership and coordination on breach notification and response
Testing & certification of cloud service providers
Maintaining standard and reliability

23. How businesses should prepare?
Alignment of impact analysis criteria and definition of likelihood
Specify assessment and risk management requirement e.g. vulnerability assessment, audit logs, activity
monitoring
Detailed in Service Level Agreements, contract requirements, and provider documentation

24. Governance Operation
Governance and Enterprise Risk Management Traditional Security, Business Continuity and
Disaster Recovery
Legal and Electronic Discovery Data Center Operations
Compliance and Audit Incident Response, Notification and
Remediation
Information Lifecycle Management Application Security
Portability and Interoperability Encryption and Key Management
Identity and Access Management
Virtualization

25. Thank you
@charlesmok
www.charlesmok.hk