1. THE NATIONAL ICT ASSOCIATION OF MALAYSIA Presented by R. Ramachandran, Head of Policy, Capability & Research The National ICT Association of Malaysia Pullman Danang Beach Resort Wednesday, 15.15-16.45 8 th October, 2014 IAOS Conference on Official Statistics: Meeting the demands of changing world Big data analytics on generating income data: collaboration between industry association and online job service prov iders

2. Voice of the Malaysia ICT Industry with members of close to 1,000 corporate companies across Retailers, Wholesalers, Multinationals and user community. We are the bridge to regional & global ICT bodies as well: PIKOM Positioning & branding Our members contribute 80% of ICT revenue in the country

3. PIKOM Members 3 ICT Service providers

4. Outsourcing Malaysia Members ICT Enabled Service providers

5. PIKOM CIO CHAPTER ICT Corporate Users

6. o Migratory Framework o 5 V dimensions Big Data Framework

7. Migratory Framework Towards Big Data Analytics

8. Integrated Five “V” Big Data Dimensions

9. o Data governance o Data scope o Business & policy intelligence ICT Job Market Outlook

10.  Data collation  Data analysis  Report compilation & Review  Publishing  Economic & ICT Outlook  Feature article I  Data provider  Sourced web published data  Strategic Partner  Feature article II Data Governance

11. 1.Salary comparison: 2012-13 o By job category; o By industry; o By Top paying industry o By ICT user segment 2. Demographic benchmarking o By Years of working experience; o By Employment size; o By Geographical location; o By Gender 3. Regional benchmarking o Atlas versus PPP criterion o IT skills / speciality o Employment size o Years of experience o 70 cities against KL Contents 4.General o Hot ICT Jobs o Job sentiment index (JECI) 5. Feature Articles I.Positive Disruption on Talent Analytics: Where companies can start? By PIKOM II.Skill Competencies Matrix for Malaysian ICT Industry by Talent Division, MDEC Data Scope

12. ICT sector still remains healthy and attractive for employment Policy & Business Intelligence I

13. Policy & Business Intelligence II Rate of ICT salary growth rate higher than growth rate of household income and inflation

14. Policy & Business Intelligence III Salary gap was widening across the job category; percentage change for “senior” categories tend to be higher than the “junior or fresh job entrants”

15. Policy & Business Intelligence IV ICT professionals in the managerial function tend to be paid higher than their counterparts in the technical functions; a challenge for Knowledge Based Economy (KBE) / Innovation Based Economy (IBE)

16. Policy & Business Intelligence V ICT professionals in highly urbanized areas like Kuala Lumpur and Putrajaya tend to be paid more than 1.7 times higher than least developed towns

17. Policy & Business Intelligence VI Years of working experience: 20 years and more paid 4.97 times in 2013, indicating job prospective

18. Policy & Business Intelligence VII Employment size matters: Bigger companies pay 1.78 times in 2013 posing talent retention challenges

19. Policy & Business Intelligence VIII Under Atlas criterion, English speaking destinations are paying at least 2.4 times and ASIAN by at least 1.43 times for ICT professionals than their counterparts in Malaysia; posing talent migration challenge

20. Policy & Business Intelligence IX Under PPP adjusted criterion, English speaking destinations are paying at least 1.5 times and ASIAN by at least 1.75 times for ICT professionals than their counterparts in Malaysia; provides refined measures for job migrants

21. Policy & Business Intelligence X Job Employment Confidence Index (JECI) compiled by Jobstreet.com and shared with PIKOM. The overall ICT job sentiment significantly increased from 36.0 level in 2001 to 46.5 in Feb 2014, peaked in 2011.

22. Next Stage : BDA BDA Structured Data Internal database Internal database Internal management use Internal management use IT centric IT centric Include semi-structured and unstructured data from online & real-time job seekers data Current Stage: BIA Link to external database like Linked-In Open source solutions to drive down the cost Business decision motivated, opposed to top management purview Seamless communication across the organization Shift budget from IT to business development Next Stage: BIA to BDA PIKOM - industry collaboration creates new value

23. Big Data in Official Statistics 1)Valued collaboration and relationship between industry association and their member; 2) Expanded the traditional role of PIKOM from welfare provision to industry relevant research and advocacy roles; 3) Policy and development institutions have accorded “near official statistics” status to policy and business intelligence culled from the ICT salary compilation activity; 4)PIKOM is the only private sector representative in the Digital Economy Satellite Account (DESA) initiative, which is an official statistical initiative; 5) Being quality and validity conscious, the private industry association data adds to the existing scope and coverage of official statistical system, thus relieves the official statistical role; 6)Association data delves into greater details - average salary of overall ICT professionals or Senior Software engineer data cannot be estimated from the Labour Force Survey data which can only provide at one-digit occupations.

24. Challenge to be “Official Statistics” If private sector data are used or referred by policy and development agencies, as well as the accorded engagements in various Government policy and development formulation programmes, then the data produced by them should be given “official statistical” status. However, the quality and validity of such data must be endorsed by the national statistical agency who are currently considered the custodian of national statistics. With the technological advancements and big data strategy private sectors are increasingly generating data that are of interest to mainstream. Hence, collaboration between industry associations and official statistical agencies is imperative not only for expanding data scope and coverage and also for existence and relevance of official statistics in the near future.