National Big Data Analytics (BDA) Initiative - //bina/ 2014 conference
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National Big Data Analytics (BDA) Initiative Delivering new values to the public and private sectors
By Peter Kua
Special Projects, Big Data Analytics
Multimedia Development Corporation (MDeC)
Agenda
• The Initiative
• Open Data
• National Big Apps Challenge 1.0
The Initiative
Strategic Intent
Short Term
(1-2 years)
Kick start
• Framework
• Government pilots
• Private sector projects
Medium Term
(3-4 years)
• Grow BDA usage
• Talent development
• Sustain initiative
Long Term
(5-7 years)
• Public - private collaboration
• BDA leadership
• Data-driven economy
3 Key Focus Areas
Proliferate BDA Usage in All Sectors
Catalyze Adoption in the Public Sector
Industry Building
2020 Desired Outcomes
Focus Areas
Proliferate BDA Usage in All Sectors
Catalyze Adoption in the Public Sector
Industry Building
Desired Outcomes National Impact
National Competitiveness
Living Standard
Improved Service Delivery
Enhanced Productivity
More competitive public & private
sectors
BDA Market Growth
New Services, Innovation & Tech
Data-Driven Economy
Wealth
APeJ Big Data MaturityScape Assessment 2013 (N= 643 APeJ Private Organizations) © IDC
Where is Malaysia? APEJ BDA Maturity: Private Sector
BDA Maturity: Ad-Hoc
Advanced Starter
APeJ Big Data MaturityScape Assessment 2013 (N= 643 APeJ Private Organizations) © IDC
Where is Malaysia?
Holistic BDA Framework
Macro Level Directions, Oversight & Leadership of
National BDA initiative.
BDA Steering Comm ( Chair : KKMM )
Framework
Private Sector Projects & User
Generated Content Government Projects
Private Sector BDA ecosystem players
( Lead : MDeC )
Public Sector BDA ecosystem players ( Lead : MAMPU )
BDA Task Force
Advisory Panel
Facilitate BDA steering comm meetings and
appointment of members
High-level policy-making platform
Digital Malaysia Steering Comm
KKMM Secretariat
Advise & share knowledge, best practices, linkages &
expertise
Meeting : Half Yearly
Working Committee focusing on development of BDA framework and ecosystem, programme ideation, coordination & monitoring
Meeting : Monthly
Meeting : Monthly
Governance Structure & Scope
Public Sector
KKMM, MAMPU, MCMC, MIMOS,
DoSM, AIM, SMECorp
Academia
UM, USM MMU, Sunway
Committee consisting of members from 4 Groups: Public Sector, Private Sector, Associations and Academia Membership
New members will be added as and when required
Chairman MDeC
Associations
PIKOM, NEF, TEAM
Private Sector
IBM, Intel, Dell, HP Teradata, SAS, Pulse,
Fusionex, TM
Taskforce Structure & Initial Members
Special Interest Group (SIG) Members
PUBLICITY INDUSTRY DEVELOPMENT
• AIM - Ng Mun Hon • Fusionex – Ivan Teh • HP - Chew Kai Peng, Shyam Srinivasan • Redtone - Andy Yau Chee Keong • SAS – Quinnie Wong • TERADATA – Craig Morrison • UPM – Dr Ali Dehghantanha
• MAMPU – Baharim Bin Saleh • MIMOS – Dr. Ettikan • MMU – Prof. Dr. Ho Chin Kuan • NEF – Abdul Razak Ahmad • Sunway Uni. – Dr. Lim Tong Ming
POLICY
• Google - Lih Shiun Goh • IBM – Hasnul Nadzrin Shah Abdul Halim • MAMPU – Baharim Bin Saleh • NEF – Abdul Razak Ahmad • SKMM – Bawani Selvaratnam
PRICE WATCH
SENTIMENT ANALYSIS
WHY?
To reduce profiteering due to policy changes
OUTCOME:
Predict optimal pricing and
maintain a price position by
analysing price and demand
elasticity
WHY?
To quickly gauge the public
perception and feedback on a certain topic
OUTCOME:
Government makes well-
informed decisions to address well
being of rakyat
WHY?
Crime root cause and trend analysis,
optimise law enforcement
resources
OUTCOME:
Reduced crime rate
WHY?
To predict outbreak
probability and locations
OUTCOME:
Reduced disease outbreak
incidences and fatalities
Public Sector Pilots
Fusionex TESS International Verve
Technologies N2N Connect Data Micron
CORAL™ Intelligent
Sensor for Fraud
Detection (iSEF) is an
end-to-end intelligent
fraud analysis,
detection and
investigation solution
with minimal human
intervention.
Design, test and
implement your very
own customized pair
trading system. The
system allows for the
import of over 100k
tradable instruments
from stock markets
and will look for the
best pair
combinations.
Development of a
multi-node in-memory
aggregation engine
with high performance
GPU for 'Big Data'
processing. It is also
scalable, making it a
'disruptive technology'
for Data Warehouse
and Business
Intelligence for Big
Data.
GIANT is a state-of-the
art product that handles
huge amounts of data in
an accelerated manner,
manages a variety of
unstructured data in a
seamless and user-
friendly way. It has the
ability to help companies
derive business value
through insights and
actionable items.
An automated online
recommendation
engine for e-
commerce that
predicts and
personalises product
recommendations and
deals either on a
single or multiple e-
commerce sites.
Emerging Private Sector BDA Solutions
BigDataAnalytics.my
facebook.com/dataanalytics.my
Awareness & Publicity
Thought Leadership
Open Data
Programs & Events
White Papers & Case Studies
Talent, Tech & Funding
Open Data
Open Data
UK: Reduced Mortality for Heart Surgery UK heart surgeon Sir Bruce Keogh persuaded his-colleagues to publish comparable data on their
individual clinical outcomes – a global first. 7 years later, dramatic improvement in survival rates are reported in all, there are 1,000 fewer deaths in
English heart surgery units each year than there were.
Canada Tax Status Misuse Open Data exposed $3.2bn of tax evasion
via illegal charities in Canada
http://eaves.ca/2010/04/14/case-study-open-data-and-the-public-purse/
Bus Stops in the UK UK released data on location of 300,000 bus-stops; Community (Open Street Map) corrected 18,000 of
them, improving official data accuracy
Finnish geo data study SME’s grow 15% more with free geo data as opposed to
paid data. Effect visible after 1yr, stronger after 2yrs.
Real-time train movements Sweden published real-time data on train departure and arrival times. Third parties have created apps that allow travelers to
visualize the train movements in real-time
Freely Used Freely Reused Freely Redistributed
Open Data: Top 10 Countries
Source: Open Knowledge Foundation
Our Open Data Journey
As of Sept 2014: 121 datasets from 12
ministries and 10 sectors
More than 80% datasets are PDF files
Government Data Limited in Malaysia. Why?
(1) whoever discloses any information or matter which has been obtained by him in the performances of his duties or the exercises of his functions under any written law shall be punished with of not more than one million ringgit or with imprisonment for a term which may extend to one year or with both (2) Whoever has any information on matter which to his knowledge has been disclosed in contravention of subsection (1) who discloses that information or matter to any other person shall be punished with fine of not more than one million ringgit or with imprisonment for a term which mat extend to one year or with both
Penal Code Section 203A
Power Distance
Ho
ng
Kon
g
UK
Sin
gap
ore
Au
stri
a D
enm
ark
Mal
aysi
a
USA
Ph
ilip
pin
es
Ch
ina
A High PD Means…
Accept and expect unequal power
distribution
Resigned attitude toward right to access
information
Power Distance vs Open Data
National Big Apps Challenge 1.0
Tang Siak Kwan
National BIG APPS Challenge 1.0
Malaysia’s first Big Application driven challenge that empowers the
sharpest minds in business and technology to solve Malaysia's challenges pertaining to public issues and societal well-being
through OPEN DATA
17 Sept 2014 – 30 Oct 2014 DURATION
DATASETS
THEME Public and Societal Well-Being
OPEN FOR REGISTRATION http://BigApp.my
Tentative Government Open Data - Healthcare - Price of Goods - Weather
National BIG APPS Challenge 1.0
MDeC National Big Data Analytics Initiative Program
Use open data to solve Malaysia’s toughest challenges!
MDeC Big Data Sessions
Start your FREE Azure account ($200) from http://aka.ms/azuretry
Need help? Go to InfoTrek at Kristal Hall 2!
MDeC Big Data Program registered developers will get special Azure with over
70GB of storage!
* HDInsight requires laptop running Win7/WS2008R2 and up. Macs can use
HDP Sandbox.
11.30 am MDeC Big Data
Multi-Platform Track Session 2 (Office Space @ Level 1)
1.30 pm Azure Machine Learning & HD Insight Apache Hadoop
Cloud Track Session 3 (Auditorium @ Level LG)
2.30 pm Hands on Lab Workshop Clinic
MDeC Big Data BYOL* (Meeting Room 1 @ Level 2)
Call to Action
Join the Big App Challenge BigApp.my
Attend the Azure Machine Learning Workshop
Participate in the Initiative Info: BigDataAnalytics.my
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Thank You