National Big Data Analytics (BDA) Initiative presented at the //bina/ 2014 conference in Kuala Lumpur

1. 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)

2. Agenda
•The Initiative
•Open Data
•National Big Apps Challenge 1.0

3. The Initiative

4. 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

5. 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

6. 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

7. APeJ Big Data MaturityScape Assessment 2013 (N= 643 APeJ Private Organizations) © IDC
Where is Malaysia?

8. Holistic BDA Framework

9. 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

10. 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

11. 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

12. 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

13. 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

14. BigDataAnalytics.my
facebook.com/dataanalytics.my
Awareness & Publicity
Thought Leadership
Open Data
Programs & Events
White Papers & Case Studies
Talent, Tech & Funding

15. Open Data

16. 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

17. Open Data: Top 10 Countries
Source: Open Knowledge Foundation

18. Our Open Data Journey
As of Sept 2014: 121 datasets from 12 ministries and 10 sectors
More than 80% datasets are PDF files 

19. 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

20. Power Distance
Hong Kong
UK
Singapore
Austria
Denmark
Malaysia
USA
Philippines
China
A High PD Means…
Accept and expect unequal power distribution
Resigned attitude toward right to access information

21. Power Distance vs Open Data

22. National Big Apps Challenge 1.0
Tang Siak Kwan

23. 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

24. 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

25. 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)

26. 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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27. Thank You