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 providers
THE NATIONAL ICT ASSOCIATION OF MALAYSIA
Pullman Danang Beach Resort
Wednesday, 15.15-16.45
8th October, 2014
Presented by
R. Ramachandran ,
Head of Policy, Capability & Research
The National ICT Association of Malaysia
PIKOM Positioning & branding
Voice of the
Malaysia
ICT Industry
Our members
contribute 80%
of ICT revenue
in the country
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 Members
ICT Service providers
3
Outsourcing Malaysia Members
ICT Enabled Service providers
PIKOM CIO CHAPTER
ICT Corporate Users
Big Data
Framework
o Migratory Framework
o 5 V dimensions
Migratory Framework Towards Big Data Analytics
Integrated Five “V” Big Data Dimensions
ICT Job
Market
Outlook
o Data governance
o Data scope
o Business & policy
intelligence
Data Governance
 Data collation
 Data analysis
 Report compilation
& Review
 Publishing
 Economic & ICT
Outlook
 Feature article I
 Sourced web published
data
 Data provider
 Strategic Partner
 Feature article II
Data Scope
Contents
1.
Salary comparison: 2012-13
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o
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o
2.
Demographic benchmarking
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o
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o
3.
By job category;
By industry;
By Top paying industry
By ICT user segment
By Years of working experience;
By Employment size;
By Geographical location;
By Gender
Regional benchmarking
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o
o
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Atlas versus PPP criterion
IT skills / speciality
Employment size
Years of experience
70 cities against KL
4.
General
o
o
Hot ICT Jobs
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
Policy & Business Intelligence I
ICT sector still remains healthy and
attractive for employment
Policy & Business Intelligence II
Rate of ICT salary growth rate higher than growth
rate of household income and inflation
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”
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)
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
Policy & Business Intelligence VI
Years of working experience: 20 years and more
paid 4.97 times in 2013, indicating job prospective
Policy & Business Intelligence VII
Employment size matters: Bigger companies pay
1.78 times in 2013 posing talent retention
challenges
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
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
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.
Next Stage: BIA to BDA
Next Stage :
BDA
Include semi-structured and unstructured
data from online & real-time job seekers data
Link to external database like Linked-In
Current Stage:
BIA
Structured Data
•
•
•
Internal database
Internal
management use
IT centric
Open source solutions to drive down the cost
Business decision motivated, opposed to top
management purview
Shift budget from IT to business development
Seamless communication across the
organization
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.
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.