big data: trends, applications and potentials

Charles Mok

Legislative Councillor

(Information Technology)

TOO MANY JARGONS?

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?

Convergence of

cloud, analytics,

mobile and social

technologies

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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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ESSENTIAL FOR COMPETITIVE GROWTH

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Source: Accenture

“Industrial Internet Insights Report For 2015”

HELPS MEET BUSINESS GOALS

Reduce cost

Improve productivity

Customer acquisition

and expansion

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Next-gen sales

and operations

planning

Improved

segmentations

to up-sell and

cross-sell

Process and

information

automation

THE FLOW

Aggregate

Anonymize

Analyze

Data from business operations

Media

Customer engagement

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Actionable

Data

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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WHERE DOES THE MONEY GO?

Storage

Servers

Cloud infrastructure

Discovery & analytics

Applications

Top 5 areas of big data investment

Source: IDG Enterprise Big Data Study, 2014

BASIC APPLICATIONS ARE MORE POPULAR

Complex Basic

Source: Rackspace Hong Kong Cloud Survey

(July 2013)

CHALLENGES

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

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

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?

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

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

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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UNLEASHING POWER OF BIG DATA

TO THE PUBLIC – DATA.ONE PORTAL

Mobile app locating doctors and public clinics

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FIRST TIME:

GOVT COMMITMENT TO OPEN UP DATA

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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

ONES TO WATCH: OPEN DATA

COMMUNITY IN HK

http://odhk.github.io/

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http://www.code4.hk

WHAT’S NEXT IN BIG DATA 2.0?

Speed Data quality

Applications IoT

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