Big Data: Trends, Applications and Potentials HKUST Executive Program 2014-11-26

1. Charles Mok
Legislative Councillor
(Information Technology)

2. TOO MANY JARGONS?

3. ARE THESE YOUR QUESTIONS?
• Why does it matter?
• How do we perform the proper data analytics?
• How can it help us gain competitive edge?
• How to integrate big data into operations and
business development while keeping costs low?
• How to ensure security, privacy and compliance?
Where to start?

5. Convergence of
cloud, analytics,
mobile and social
technologies

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7. HOW CAN BIG DATA INCREASE ROI?
• Optimise huge volume of data generated
• More precise decision-making
• Real time analysis and capture opportunities
• Value-adding and knowledge management
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8. ESSENTIAL FOR COMPETITIVE GROWTH
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Source: Accenture
“Industrial Internet Insights Report For 2015”

9. HELPS MEET BUSINESS GOALS
Reduce
cost
Customer
acquisition
Improve
productivity
and
expansion
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Next-gen sales
and operations
planning
Improved
segmentations
to up-sell and
cross-sell
Process and
information
automation

10. THE FLOW
Aggregate
Anonymize
Analyze
Data from business
operations
Media
Customer
engagement
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Actionable
Data

11. USE CASES OF BIG DATA
Internet of things (IoT)
- Perfect match for Big Data
- Establish the infrastructure and flow required to support the high level of
data analytics with data generated via IoT
Context for Interactions and Transactions
- Combining internal statistics with external (social media chatter, survey
response feedback, website requests)
Shaping business plans
Response to undetected trends
- Refine response locations, times and problems
Gain insight into reporting system
- Compliance check and audit using big data e.g. financial transactions
Understanding competitors
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12. WHERE DOES THE MONEY GO?
Top 5 areas of big data investment
Storage
Servers
Cloud infrastructure
Discovery & analytics
Applications
Source: IDG Enterprise Big Data Study, 2014

13. BASIC APPLICATIONS ARE MORE POPULAR
Complex Basic
Source: Rackspace Hong Kong Cloud Survey
(July 2013)

14. CHALLENGES

16. Security
Is the data
protected from
theft, leakage,
spying or attacks?
What is the level
of control and
protection?
Residency
Where is the
data stored?
geographically
disbursed?
What to do with
data in transit &
outside territory?
Privacy
Who can see
personally
identifiable
information (PII)?
Storing,
transferring,
locating and
protecting PII

17. Big data
and
security
Maintaining
ownership and
control of data
Info on 3rd
party service
and distributed
infrastructure
Deliver
resiliency,
availability and
flexibility of
cloud services

18. STAKEHOLDERS AND DATA SECURITY
Businesses
•Outsourcing:
How to select
a cloud vendor?
•How to
maintain
direct control
to safeguard
data integrity?
Cloud service
providers
•How to satisfy
data residency
and privacy
requirements
•How to remain
flexible and
provide cost-effective
service?
Regulator
•Formulation of
relevant
standards and
practices
•Would
sensitive data
end up
overseas?
Customers/end-users
•Are my data
safe in the
cloud?
•Would I know
if there is
security or
privacy breach?

19. FOR BUSINESSES AND SERVICE PROVIDERS:
DATA SECURITY AND PRIVACY
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
Source: Security Guidance for Critical Areas of Focus in
Cloud Computing V2.1, Cloud Security Alliance 2009

20. REGULATING CROSS-BORDER FLOWS
OF PERSONAL DATA: HONG KONG
Our current protection for personal data transferred
overseas is out-of-date (since 1995), weak and
incomprehensive
• Personal Data (Privacy) Ordinance prohibits all
transfers of personal data 'to a place outside Hong
Kong‘ (section 33)  never brought into force
Time to review and renew

21. BIG DATA AND E-GOVERNMENT
New Digital 21 Strategy:
“Smart City” vision
• Turning data analysis
into informed decisions
and intuitive services
• Internet of Things:
Sensors, e-commerce
transactions, weather
information, road traffic
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22. UNLEASHING POWER OF BIG DATA
TO THE PUBLIC – DATA.ONE PORTAL
Mobile app locating doctors and public clinics
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24. FIRST TIME:
GOVT COMMITMENT TO OPEN UP DATA
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25. POTENTIAL OF BIG DATA IN PUBLIC
POLICY
Visualising
government
expenditure
in budget
(g0v.tw)
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Better
communicate
impact of
government
policy
Example:
Budget
calculator by
Code4HK

27. ONES TO WATCH: OPEN DATA
COMMUNITY IN HK
http://odhk.github.io/
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http://www.code4.hk

28. WHAT’S NEXT IN BIG DATA 2.0?
Speed Data quality
Applications IoT
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