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Installed Talent in Tier II China Cities – Suzhou
& Chengdu
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Disclaimer
All the information contained in this report is obtained through proprietary technology aggregation algorithms, human
experts, network of domain experts, discussions with industry leaders, public and confidential information sources
believed to be reliable. Talent Neuron makes no representations or warranties regarding the errors, omissions or
completeness of any information contained herein and shall have no liability for the same. The report is provided solely
for informational and marketing purposes and opinions must not be construed as advice, recommendations or
endorsements. The reader of the report is advised to conduct an independent evaluation and form conclusions with
respect to the information provided.
3
Talent Neuron can help in selecting the right location by providing data, analytics and insights on Locations,
Talent, Cost, Peer Group Footprint & Trends
Location Analysis Understand the capability of each potential
location and make data driven decisions on
setup and expansion
Peer and Talent
Insights
Understand the capability of each potential
location and make data driven decisions on
setup and expansion
Ecosystem Analysis Understand the capability of each potential
location and make data driven decisions on
setup and expansion
Source: Talent Neuron Website 3
CAPABILITIES
Talent Neuron has assisted over 100 companies in their global location analysis and site
selection process
Ecosystem Insights Forecasts Industry/Domain
Wage Inflation
Trends
Company TrackerMarket TrackerSkill Wizard Market Insights
Talent Neuron KEY
FOCUS IS ON THE
TECHNOLOGY INDUSTRY.
OVER 80% CLIENTS ARE
IN THE PRODUCT
ENGINEERING DOMAIN.
Consulting
Proprietary
Data Sources
Network
Reports
Web Crawling
Expert
Insights
Analytics
Surveys
500+ GLOBAL
CITIES COVERED
Source: Talent Neuron
6 DOMAINS
35 FUNCTIONs
150+ SKILL SETS
4
PROPOSED APPROACH – Data Gathering and Analysis through BIG Data
Talent Neuron will use data driven Big data principles (for large data analysis) which will provide
comprehensive insights and transparency on the trends, current realities and opportunities in any locations
100+ Job sites
3,000+ Company
Career Sites
Universities
Social Media/
Public Profiles
Hadoop
Engine
(Big Data
Approach)
=
Over 12,000
Unique Data
elements for
each city
Patent Databases
Publication/
Journal
Databases
Technology
Contributor lists
Community Sites
Connectors (API / Screen Scraping)
Skill
Availability
Location
Insights
Compensation
and Cost
Trends
Peer
Company
Footprint
Source: Talent Neuron Website
* Details not disclosed by the company
Source: Talent Neuron Research and Analysis 5
520+ Cities
~12,000 Unique Data
Points Per City
9 Domains &
400+ Skills
~7,500 Companies &
22 Million Profiles
Module 1: Talent Intelligence Module 2: Talent Analytics
• Location Profiles
• Talent Pool (Installed and Fresh)
• Salary and Cost
• University
• Peer Companies
• Monitor
• Role Views
• Job Engine
• Top Brains
• Public People Profiles
• HR Data Consolidation
• Peer Benchmarking
• Decision Support Analytics
• Workforce Planning
• Skill Circles
• Hypotheses Validation
6
Talent Neuron
Talent Neuron has two module Talent Intelligence and Talent Analytics. Our data spectrum covers
500 cities, 9 Domains and 400+ skill sets
Talent Neuron, gathers data from multiple sources
Data Mining from Connectors
Job Sites
Company
Career Sites
Social Media/
Public Profiles
Patent
Databases
Community
Sites
Technology
Contributor List
Universities
Publication/
Journal
Databases
Survey Data from
Companies
Data from Govt./
Industry Bodies
Data from Local
Recruitment
Companies
Data on City level
suitability &
Ecosystem
Correlated data
on Talent,
Cost, Peer companies
Talent Neuron Primary
Research & Interviews
News Articles & Public
Data – Crawling Engine
7
Zinnov 8
CHENGDU
• Chengdu is China’s fifth most populous city and provincial
capital of Sichuan Province.
• According to the World Bank's 2007 survey report,
Chengdu was declared "a benchmark city for investment
environment in inland China"
• Currently, it is the top investment location in inland China
due to a large graduate population, low operating costs,
most livable city reputation (western China), and
government’s efficiency in dealing with foreign investments
• China's state council has designated Chengdu as the
country's western center of logistics, commerce, finance,
science and technology, transportation
and communication SUZHOU
• Suzhou has second largest economy in the Yangtze River
Delta after Shanghai. It contributes 2.3% to country’s GDP
• As one of the Satellite cities of Shanghai, its infrastructure
is as good as any other Tier I city
• With stable society, convenient transportation, beautiful
environment, efficient government and considerate
service, Suzhou is most suitable to make an investment
• Suzhou was ranked 5th on the Forbes list of ‘Best Cities for
Business in Mainland China’ in 2010
• Suzhou is considered as one of the world’s top
manufacturing location of laptops and digital cameras
Parameters Chengdu Suzhou
City Population(2011) 7,123,697 6,376,600
MSA* Population 14,040,000 11,800,000
Area 12,132 sq. km 8,488 sq. km
Official Language Mandarin Mandarin
Literacy Rate 93.7% 93%
Unemployment Rate 3% 4.3%
Population Growth Rate 0.48% 2.44%
Legally Employable
Population
11,230,000 8,662,000
Key Industries
Pharmaceuticals,
ICT, Automotive,
Aerospace
ICT, Electronics,
Textiles, Chemical,
Mech. components
Chengdu
Suzhou
Note: *MSA – Metropolitan Statistical Area
Source: Doing Business in Chengdu; Invest in Chengdu – government website; Government of Chengdu. 2011-05-13. Retrieved 2012-03-16;
Government of Suzhou. 2011-03-18. Retrieved 2012-03-18; Doing business in Suzhou
LOCATION ATTRIBUTES: CITY OVERVIEW
Chengdu is the scientific and business hub of south west China; Suzhou is one of the most
important industrial centers in the Yangtze River Delta economic development zone
8
Zinnov 9
LOCATION ATTRIBUTES: CITY OVERVIEW
Suzhou is amongst the eleven cities in China with GDP per capita of more than US $10,000
$82
$143
$0
$40
$80
$120
$160
GDP
USDBillion
Chengdu Suzhou
$7,200
$12,211
$0
$5,000
$10,000
$15,000
GDP Per Capita
USD
Chengdu Suzhou
GDP Per Capita, 2010
Foreign Direct Investments, 2010
4.8
8.3
$0
$2
$4
$6
$8
$10
FDI
FDIinUSDBillion
Chengdu Suzhou
GDP, 2010
12%
40%
48%
Primary
Secondary
Tertiary
(Service)
Industry, 2010
2%
57%
41%
Chengdu Suzhou
• Suzhou was one of the first Chinese
cities to cross the US $10,000 GDP per
capita level in 2007
• Chengdu’s GDP per capita has been
increasing steadily from US $2,300 in
2001 to US $7,200 in 2010. GDP of
Chengdu showed a growth of 15% in
2010
• Suzhou’s economy boomed in the past twenty years. In year 2007, its utilized foreign
capital reached US $7.38 billion, the highest in the country. In 2010, Suzhou attracted
an FDI of US $8.3 billion, with 92% utilization rate
• Chengdu’s FDI is second in Western China, there has been a growing number of high-
tech, software and hardware firms establishing themselves in Chengdu. Foreign direct
investment showed a steep increase of 73.6% in year 2010
• Primary industry refers to agriculture, forestry, animal husbandry, fishery
• Secondary industry refers to mining, manufacturing, electricity, water, gas
production
• In Suzhou, services industry makes up 38% of the total industries, in
comparison with Shanghai and Beijing, where services industry make up
to 57% and 75% respectively
• Chengdu’s service sector already accounts for 48% of the economy and is
predicted to grow to 60% within the next 10 years
Note:
Source: Doing Business in Chengdu; Invest in Chengdu – government website; Government of Chengdu. 2011-05-13. Retrieved 2012-03-16;
Government of Suzhou. 2011-03-18. Retrieved 2012-03-18; Doing business in Suzhou , Suzhou Statistical Report, 2011
9
Zinnov 10
156,000
48,000
44,000
25,500
13,500
7,500
18,500
6,000
IT Services R&D
Chengdu
Software PD*
Suzhou
InstalledTalentPool
Hardware PD*
Software PD*
Hardware PD*
Total Installed Talent Pool, 2011
Note: * PD – Product Development
Source: Government of Chengdu – official website, Invest in Chengdu; Suzhou Statistical Yearbook 2011; Invest in Suzhou, Primary Interviews with various Stakeholders in China
• Chengdu is more R&D oriented compared to other Tier - II cities
• Suzhou is a kind of satellite city around Shanghai, it is more of a traditional manufacturing hub and can be developed into a Global
Delivery Center.
• Not many MNCs are present in Online Search Engines/Internet sector, so hiring has to be done majorly through the local companies
• In general, the Chinese R&D talent is skilled in Internet/mobile technology. Lack of discipline in structured code writing may be an
issue
INSTALLED TALENT POOL: R&D TALENT POOL SPLIT
Software product development forms around 45 percent of the total R&D talent pool for both
Chengdu and Suzhou
10
Zinnov 11
60%40%
Engineering Gender Diversity
92%
84%
80%
60%
8%
16%
20%
40%
0% 50% 100%
Over 10
Years
6 to 10
Years
3 to 6 Years
0 to 3 Year
Male Female
65%
35%
Male Female
Overall Gender Diversity Ratio (Male/Female)
Chengdu
Suzhou
Note:Source: Invest in Chengdu; Suzhou Statistical Yearbook 2011; Talent Neuron Pool Modeler – 2009, 2010, 2011, Primary Interviews with various Stakeholders in China
INSTALLED TALENT POOL
The proportion of female employees in engineering sector decreases with increase in experience
level
11
Zinnov 12
Key MNCs Domestic Companies
Oracle JinTian
Motorola Software HuaCheng
Ericsson HiSoft
HP Vanceinfo
EMC Neusoft
Myriad Beyondsoft
Dreamwork Elegon
Gameloft lanxum
Sobey Digital Technology Co. Weflexforce
DHL Chengdu Shuguang Optic Fiber Network
Maersk Sichuan Xiyasheng Electronics Tech Co
Tencent Chengdu Huari Com. Tech. Co
Nokia Siemens Networks Huawei
Accenture China Telecom
Wipro China Mobile
3i Infotech ZTE
NIIT SNDA
IBM Symbio
Intel Kingdee
Foxconn Digital China
SAP
Unisys
ZTE
Fujitsu
Symantec
Alcatel Lucent
Tieto
Damco
Lafarge
Freescale
Accor
Manulife
Cisco Systems
Dell
Key MNCs Domestic Companies
Robert Bosch Unitedinfo Worldwide Crop
Emerson Electric Nanjing Dema Technology Co
Harman Isoftstone Information Service Corporation
Microchip Technology Masson Tech Ltd
National semiconductor Senso Software Company
First International Computer Anlysun Electronic R&D Co
Motorola Shanghai WIK Network Tech Co.,Ltd
Panasonic Shenzhen Sinrui Technology Co
Samsung Global-Standard Testing Service Co
CommScope Beijing Morlab Communications Tech. Co
Pixelworks BI Consulting Group Limited
Cisco
Shijiazhuang Dingnuo Business Management and
Consultation
Yageo Int'L Safety Testing & Certification Net
Qimonda World Standarization Certification & Testing
Schott SIEMIC Info Tech ltd
Fujitsu Promise Technical Consulting Co
NALCO Shenzhen Pema Product Service Co
NSK Global-Standard Testing Service Co
Philips Beijing Morlab Communications Tech. Co
Seimens
HP
IBM
iGate Patni
Chengdu – Other Software Companies Suzhou – Other Software Companies Sample List
Note:
Source: Invest in Chengdu; Chengdu Municipal Bureau of Commerce, Chengdu HiTech park official website; Suzhou Statistical Yearbook 2011; Invest in Suzhou
LOCATION ATTRIBUTES: CITY OVERVIEW
Suzhou is amongst the eleven cities in China with GDP per capita of more than US $10,000
12
Zinnov 13
INSTALLED TALENT POOL: ATTRITION TRENDS
Attrition rate is lowest in Chengdu, around 8%, as compared to other Tier II locations
Key Reasons
0%
4%
8%
12%
16%
20%
Junior Level Middle Level Senior Level
Experience Level
4-8%
5 to 9%
8 - 12%
International Exposure Opportunities
Competitive Peer Group Pressure
Lucrative Job Market
High Performance Pressure
Limited Autonomy in Team
Management
Fear of getting type-casted with a
specific work profile
Management and Work Culture
Issues
Unmet Job Role Expectations
• The attrition rates are lower in Tier II cities as there are difficulties in mobility.
This is a great incentive for MNCs as they can get a good employer loyalty
• The attrition rate is also lower in organizations that provide comprehensive
training and have a consistent corporate culture
• The workplace environment and supplementary benefits play an important role
in facilitating retention efforts. Common benefits provided by companies
include supplementary meals, medical insurance, loyalty bonuses, performance
related income payments, off-days on special occasions and housing allowances
• A lot of foreign companies in Suzhou adopt these measures. Management
positions appear to reap the highest rewards, with some companies paying out
bonuses of more than three months salaries’ worth, subject to performance
• MNCs are also facing the consequences of market overheating. According to a
recent study, local privately owned enterprises are growing at a rate of 42%
Note:
Source: Primary Interviews with various Stakeholders in China , Press releases, Invest in Chengdu
Average Attrition Rate in Software Industry in Chengdu and Suzhou
13
Zinnov 14
Average Time to Recruit Talent in Chengdu and Suzhou
• Management candidates are often readily available but only at higher
salary levels, and their demands may not suitably fit with the internal
payment structure of the whole company
• This latest trend of high demands from candidates directly drives up
recruiting costs
• In addition, detailed screening and background checks – more stringently
needed in China – add to time invested into the process
• Typical hires ramp up in about 30 days
• Staying rate of fresh graduates in Chengdu is around 60%
Designation
Hiring Time
required
Entry Level Engineering (Software Engineer 1) 2 weeks – 6 weeks
Developer 2 2 weeks – 6 weeks
Senior Developer 4 weeks – 8 weeks
Principal Engineer 6 weeks – 5 months
Management Level 6 weeks – 3 months Stock Options
Flexible Working Hours
Long Service Rewards
Education/Training incentives
Employee Recognition
Programs
High Performance Incentives
Monetary Incentives/Bonuses
Measures to Retain and Motivate Employees
Career Expectations
Fast track career growth
Attractive pay packages
Challenging job profiles
Company culture
Professional training & development
Good prospects for high future earnings
Note: Source: Employment and HR Trends in China, Primary Interviews with various Stakeholders in China
INSTALLED TALENT POOL: ATTRITION TRENDS
Monetary incentives/ bonuses and employee recognition programs are the major measures
taken by the companies to retain and motivate employees
14
Zinnov 15
INSTALLED TALENT POOL: INNOVATION
Tier I cities in China are far ahead on innovation index as compared to Tier II cities
Innovation Capabilities in Tier I and Tier II Cities
Tier I cities like Beijing and Shanghai are high on innovation index.
Beijing leads in the internet domain, followed by Shanghai.
Tier I cities have skilled talent for niche segments like mobile technologies, data analytics, etc.
Tier I cities have strong base for cutting edge technologies, which is absent in tier II cities
Suzhou is low on innovation index, specifically in internet domain as it is dominated
by the outsourcing industry. MNC presence in this domain is almost negligible.
Chengdu is strong on innovation index in electronics domain. It has a number of
state owned companies.
Few MNCs and domestic companies are present in internet domain.
Tier I
cities
Tier II
cities
Note: Source: Interviews with globalization leaders from peer companies, Talent Neuron portfolio analysis framework, Talent Neuron R&D Council and Talent Neuron city analysis framework
15
For Detailed information on Location, Talent, Cost, Risks, University Information
contact info@talentneuron.com
Talent
Neuron
Global
Location
Profiles
Global
Talent
Insights
Global
Cost &
Salary
Insights
University
Outlook
Peer
Companies
Monitor
Role View
Job
Engineer
Talent Neuron Platform
Talent Neuron Platform provides granular data for over 500 cities in 83 countries. It tracks over 12,000 unique data
parameters for a city that spans across location attributes, talent pool size (Domain, Function and Skills), Universities,
Salary and Cost etc.
Source: Talent Neuron Website 16
THANK YOU
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Installed talent in tier 2 china cities-suzhou & chengdu

  • 1. Installed Talent in Tier II China Cities – Suzhou & Chengdu This report is solely for the use of Talent Neuron clients and Talent Neuron Subscribers. No part of it may be circulated, quoted, or reproduced for distribution outside the client organization without prior written approval from Talent Neuron.
  • 2. Talent Neuron Copyright and Disclaimer Copyright The material in this report is copyrighted. No part of this report prepared by Talent Neuron can be reproduced either on paper or electronic media without permission in writing from Talent Neuron. Request for permission to reproduce any part of the report may be sent to info@talentneuron.com. Customers are welcome to use an unlimited number of copies of the materials contained within this report. Furthermore, customers may copy any graphic herein for their own internal purpose. Talent Neuron requests only that members retain the source name/logo mark on all pages produced. Please contact our Talent Neuron account manager at +1-408-716-8432 for any help we may provide. The report herein is the property of Talent Neuron (A Zinnov LLC Company). Beyond the membership, no copyrighted materials of Talent Neuron may be reproduced without prior approval. Disclaimer All the information contained in this report is obtained through proprietary technology aggregation algorithms, human experts, network of domain experts, discussions with industry leaders, public and confidential information sources believed to be reliable. Talent Neuron makes no representations or warranties regarding the errors, omissions or completeness of any information contained herein and shall have no liability for the same. The report is provided solely for informational and marketing purposes and opinions must not be construed as advice, recommendations or endorsements. The reader of the report is advised to conduct an independent evaluation and form conclusions with respect to the information provided.
  • 3. 3 Talent Neuron can help in selecting the right location by providing data, analytics and insights on Locations, Talent, Cost, Peer Group Footprint & Trends Location Analysis Understand the capability of each potential location and make data driven decisions on setup and expansion Peer and Talent Insights Understand the capability of each potential location and make data driven decisions on setup and expansion Ecosystem Analysis Understand the capability of each potential location and make data driven decisions on setup and expansion Source: Talent Neuron Website 3
  • 4. CAPABILITIES Talent Neuron has assisted over 100 companies in their global location analysis and site selection process Ecosystem Insights Forecasts Industry/Domain Wage Inflation Trends Company TrackerMarket TrackerSkill Wizard Market Insights Talent Neuron KEY FOCUS IS ON THE TECHNOLOGY INDUSTRY. OVER 80% CLIENTS ARE IN THE PRODUCT ENGINEERING DOMAIN. Consulting Proprietary Data Sources Network Reports Web Crawling Expert Insights Analytics Surveys 500+ GLOBAL CITIES COVERED Source: Talent Neuron 6 DOMAINS 35 FUNCTIONs 150+ SKILL SETS 4
  • 5. PROPOSED APPROACH – Data Gathering and Analysis through BIG Data Talent Neuron will use data driven Big data principles (for large data analysis) which will provide comprehensive insights and transparency on the trends, current realities and opportunities in any locations 100+ Job sites 3,000+ Company Career Sites Universities Social Media/ Public Profiles Hadoop Engine (Big Data Approach) = Over 12,000 Unique Data elements for each city Patent Databases Publication/ Journal Databases Technology Contributor lists Community Sites Connectors (API / Screen Scraping) Skill Availability Location Insights Compensation and Cost Trends Peer Company Footprint Source: Talent Neuron Website * Details not disclosed by the company Source: Talent Neuron Research and Analysis 5
  • 6. 520+ Cities ~12,000 Unique Data Points Per City 9 Domains & 400+ Skills ~7,500 Companies & 22 Million Profiles Module 1: Talent Intelligence Module 2: Talent Analytics • Location Profiles • Talent Pool (Installed and Fresh) • Salary and Cost • University • Peer Companies • Monitor • Role Views • Job Engine • Top Brains • Public People Profiles • HR Data Consolidation • Peer Benchmarking • Decision Support Analytics • Workforce Planning • Skill Circles • Hypotheses Validation 6 Talent Neuron Talent Neuron has two module Talent Intelligence and Talent Analytics. Our data spectrum covers 500 cities, 9 Domains and 400+ skill sets
  • 7. Talent Neuron, gathers data from multiple sources Data Mining from Connectors Job Sites Company Career Sites Social Media/ Public Profiles Patent Databases Community Sites Technology Contributor List Universities Publication/ Journal Databases Survey Data from Companies Data from Govt./ Industry Bodies Data from Local Recruitment Companies Data on City level suitability & Ecosystem Correlated data on Talent, Cost, Peer companies Talent Neuron Primary Research & Interviews News Articles & Public Data – Crawling Engine 7
  • 8. Zinnov 8 CHENGDU • Chengdu is China’s fifth most populous city and provincial capital of Sichuan Province. • According to the World Bank's 2007 survey report, Chengdu was declared "a benchmark city for investment environment in inland China" • Currently, it is the top investment location in inland China due to a large graduate population, low operating costs, most livable city reputation (western China), and government’s efficiency in dealing with foreign investments • China's state council has designated Chengdu as the country's western center of logistics, commerce, finance, science and technology, transportation and communication SUZHOU • Suzhou has second largest economy in the Yangtze River Delta after Shanghai. It contributes 2.3% to country’s GDP • As one of the Satellite cities of Shanghai, its infrastructure is as good as any other Tier I city • With stable society, convenient transportation, beautiful environment, efficient government and considerate service, Suzhou is most suitable to make an investment • Suzhou was ranked 5th on the Forbes list of ‘Best Cities for Business in Mainland China’ in 2010 • Suzhou is considered as one of the world’s top manufacturing location of laptops and digital cameras Parameters Chengdu Suzhou City Population(2011) 7,123,697 6,376,600 MSA* Population 14,040,000 11,800,000 Area 12,132 sq. km 8,488 sq. km Official Language Mandarin Mandarin Literacy Rate 93.7% 93% Unemployment Rate 3% 4.3% Population Growth Rate 0.48% 2.44% Legally Employable Population 11,230,000 8,662,000 Key Industries Pharmaceuticals, ICT, Automotive, Aerospace ICT, Electronics, Textiles, Chemical, Mech. components Chengdu Suzhou Note: *MSA – Metropolitan Statistical Area Source: Doing Business in Chengdu; Invest in Chengdu – government website; Government of Chengdu. 2011-05-13. Retrieved 2012-03-16; Government of Suzhou. 2011-03-18. Retrieved 2012-03-18; Doing business in Suzhou LOCATION ATTRIBUTES: CITY OVERVIEW Chengdu is the scientific and business hub of south west China; Suzhou is one of the most important industrial centers in the Yangtze River Delta economic development zone 8
  • 9. Zinnov 9 LOCATION ATTRIBUTES: CITY OVERVIEW Suzhou is amongst the eleven cities in China with GDP per capita of more than US $10,000 $82 $143 $0 $40 $80 $120 $160 GDP USDBillion Chengdu Suzhou $7,200 $12,211 $0 $5,000 $10,000 $15,000 GDP Per Capita USD Chengdu Suzhou GDP Per Capita, 2010 Foreign Direct Investments, 2010 4.8 8.3 $0 $2 $4 $6 $8 $10 FDI FDIinUSDBillion Chengdu Suzhou GDP, 2010 12% 40% 48% Primary Secondary Tertiary (Service) Industry, 2010 2% 57% 41% Chengdu Suzhou • Suzhou was one of the first Chinese cities to cross the US $10,000 GDP per capita level in 2007 • Chengdu’s GDP per capita has been increasing steadily from US $2,300 in 2001 to US $7,200 in 2010. GDP of Chengdu showed a growth of 15% in 2010 • Suzhou’s economy boomed in the past twenty years. In year 2007, its utilized foreign capital reached US $7.38 billion, the highest in the country. In 2010, Suzhou attracted an FDI of US $8.3 billion, with 92% utilization rate • Chengdu’s FDI is second in Western China, there has been a growing number of high- tech, software and hardware firms establishing themselves in Chengdu. Foreign direct investment showed a steep increase of 73.6% in year 2010 • Primary industry refers to agriculture, forestry, animal husbandry, fishery • Secondary industry refers to mining, manufacturing, electricity, water, gas production • In Suzhou, services industry makes up 38% of the total industries, in comparison with Shanghai and Beijing, where services industry make up to 57% and 75% respectively • Chengdu’s service sector already accounts for 48% of the economy and is predicted to grow to 60% within the next 10 years Note: Source: Doing Business in Chengdu; Invest in Chengdu – government website; Government of Chengdu. 2011-05-13. Retrieved 2012-03-16; Government of Suzhou. 2011-03-18. Retrieved 2012-03-18; Doing business in Suzhou , Suzhou Statistical Report, 2011 9
  • 10. Zinnov 10 156,000 48,000 44,000 25,500 13,500 7,500 18,500 6,000 IT Services R&D Chengdu Software PD* Suzhou InstalledTalentPool Hardware PD* Software PD* Hardware PD* Total Installed Talent Pool, 2011 Note: * PD – Product Development Source: Government of Chengdu – official website, Invest in Chengdu; Suzhou Statistical Yearbook 2011; Invest in Suzhou, Primary Interviews with various Stakeholders in China • Chengdu is more R&D oriented compared to other Tier - II cities • Suzhou is a kind of satellite city around Shanghai, it is more of a traditional manufacturing hub and can be developed into a Global Delivery Center. • Not many MNCs are present in Online Search Engines/Internet sector, so hiring has to be done majorly through the local companies • In general, the Chinese R&D talent is skilled in Internet/mobile technology. Lack of discipline in structured code writing may be an issue INSTALLED TALENT POOL: R&D TALENT POOL SPLIT Software product development forms around 45 percent of the total R&D talent pool for both Chengdu and Suzhou 10
  • 11. Zinnov 11 60%40% Engineering Gender Diversity 92% 84% 80% 60% 8% 16% 20% 40% 0% 50% 100% Over 10 Years 6 to 10 Years 3 to 6 Years 0 to 3 Year Male Female 65% 35% Male Female Overall Gender Diversity Ratio (Male/Female) Chengdu Suzhou Note:Source: Invest in Chengdu; Suzhou Statistical Yearbook 2011; Talent Neuron Pool Modeler – 2009, 2010, 2011, Primary Interviews with various Stakeholders in China INSTALLED TALENT POOL The proportion of female employees in engineering sector decreases with increase in experience level 11
  • 12. Zinnov 12 Key MNCs Domestic Companies Oracle JinTian Motorola Software HuaCheng Ericsson HiSoft HP Vanceinfo EMC Neusoft Myriad Beyondsoft Dreamwork Elegon Gameloft lanxum Sobey Digital Technology Co. Weflexforce DHL Chengdu Shuguang Optic Fiber Network Maersk Sichuan Xiyasheng Electronics Tech Co Tencent Chengdu Huari Com. Tech. Co Nokia Siemens Networks Huawei Accenture China Telecom Wipro China Mobile 3i Infotech ZTE NIIT SNDA IBM Symbio Intel Kingdee Foxconn Digital China SAP Unisys ZTE Fujitsu Symantec Alcatel Lucent Tieto Damco Lafarge Freescale Accor Manulife Cisco Systems Dell Key MNCs Domestic Companies Robert Bosch Unitedinfo Worldwide Crop Emerson Electric Nanjing Dema Technology Co Harman Isoftstone Information Service Corporation Microchip Technology Masson Tech Ltd National semiconductor Senso Software Company First International Computer Anlysun Electronic R&D Co Motorola Shanghai WIK Network Tech Co.,Ltd Panasonic Shenzhen Sinrui Technology Co Samsung Global-Standard Testing Service Co CommScope Beijing Morlab Communications Tech. Co Pixelworks BI Consulting Group Limited Cisco Shijiazhuang Dingnuo Business Management and Consultation Yageo Int'L Safety Testing & Certification Net Qimonda World Standarization Certification & Testing Schott SIEMIC Info Tech ltd Fujitsu Promise Technical Consulting Co NALCO Shenzhen Pema Product Service Co NSK Global-Standard Testing Service Co Philips Beijing Morlab Communications Tech. Co Seimens HP IBM iGate Patni Chengdu – Other Software Companies Suzhou – Other Software Companies Sample List Note: Source: Invest in Chengdu; Chengdu Municipal Bureau of Commerce, Chengdu HiTech park official website; Suzhou Statistical Yearbook 2011; Invest in Suzhou LOCATION ATTRIBUTES: CITY OVERVIEW Suzhou is amongst the eleven cities in China with GDP per capita of more than US $10,000 12
  • 13. Zinnov 13 INSTALLED TALENT POOL: ATTRITION TRENDS Attrition rate is lowest in Chengdu, around 8%, as compared to other Tier II locations Key Reasons 0% 4% 8% 12% 16% 20% Junior Level Middle Level Senior Level Experience Level 4-8% 5 to 9% 8 - 12% International Exposure Opportunities Competitive Peer Group Pressure Lucrative Job Market High Performance Pressure Limited Autonomy in Team Management Fear of getting type-casted with a specific work profile Management and Work Culture Issues Unmet Job Role Expectations • The attrition rates are lower in Tier II cities as there are difficulties in mobility. This is a great incentive for MNCs as they can get a good employer loyalty • The attrition rate is also lower in organizations that provide comprehensive training and have a consistent corporate culture • The workplace environment and supplementary benefits play an important role in facilitating retention efforts. Common benefits provided by companies include supplementary meals, medical insurance, loyalty bonuses, performance related income payments, off-days on special occasions and housing allowances • A lot of foreign companies in Suzhou adopt these measures. Management positions appear to reap the highest rewards, with some companies paying out bonuses of more than three months salaries’ worth, subject to performance • MNCs are also facing the consequences of market overheating. According to a recent study, local privately owned enterprises are growing at a rate of 42% Note: Source: Primary Interviews with various Stakeholders in China , Press releases, Invest in Chengdu Average Attrition Rate in Software Industry in Chengdu and Suzhou 13
  • 14. Zinnov 14 Average Time to Recruit Talent in Chengdu and Suzhou • Management candidates are often readily available but only at higher salary levels, and their demands may not suitably fit with the internal payment structure of the whole company • This latest trend of high demands from candidates directly drives up recruiting costs • In addition, detailed screening and background checks – more stringently needed in China – add to time invested into the process • Typical hires ramp up in about 30 days • Staying rate of fresh graduates in Chengdu is around 60% Designation Hiring Time required Entry Level Engineering (Software Engineer 1) 2 weeks – 6 weeks Developer 2 2 weeks – 6 weeks Senior Developer 4 weeks – 8 weeks Principal Engineer 6 weeks – 5 months Management Level 6 weeks – 3 months Stock Options Flexible Working Hours Long Service Rewards Education/Training incentives Employee Recognition Programs High Performance Incentives Monetary Incentives/Bonuses Measures to Retain and Motivate Employees Career Expectations Fast track career growth Attractive pay packages Challenging job profiles Company culture Professional training & development Good prospects for high future earnings Note: Source: Employment and HR Trends in China, Primary Interviews with various Stakeholders in China INSTALLED TALENT POOL: ATTRITION TRENDS Monetary incentives/ bonuses and employee recognition programs are the major measures taken by the companies to retain and motivate employees 14
  • 15. Zinnov 15 INSTALLED TALENT POOL: INNOVATION Tier I cities in China are far ahead on innovation index as compared to Tier II cities Innovation Capabilities in Tier I and Tier II Cities Tier I cities like Beijing and Shanghai are high on innovation index. Beijing leads in the internet domain, followed by Shanghai. Tier I cities have skilled talent for niche segments like mobile technologies, data analytics, etc. Tier I cities have strong base for cutting edge technologies, which is absent in tier II cities Suzhou is low on innovation index, specifically in internet domain as it is dominated by the outsourcing industry. MNC presence in this domain is almost negligible. Chengdu is strong on innovation index in electronics domain. It has a number of state owned companies. Few MNCs and domestic companies are present in internet domain. Tier I cities Tier II cities Note: Source: Interviews with globalization leaders from peer companies, Talent Neuron portfolio analysis framework, Talent Neuron R&D Council and Talent Neuron city analysis framework 15
  • 16. For Detailed information on Location, Talent, Cost, Risks, University Information contact info@talentneuron.com Talent Neuron Global Location Profiles Global Talent Insights Global Cost & Salary Insights University Outlook Peer Companies Monitor Role View Job Engineer Talent Neuron Platform Talent Neuron Platform provides granular data for over 500 cities in 83 countries. It tracks over 12,000 unique data parameters for a city that spans across location attributes, talent pool size (Domain, Function and Skills), Universities, Salary and Cost etc. Source: Talent Neuron Website 16
  • 17. THANK YOU 4701 Patrick Henry Dr. Building 7 Santa Clara CA – 95054 Phone: +1-408-716-8432 21, Waterway Ave, Suite 300 The Woodlands TX – 77380 Phone: +1-281-362-2773 69 "Prathiba Complex", 4th 'A' Cross, Koramangala Ind. Layout 5th Block, Koramangala Bangalore – 560095 Phone: +91-80-41127925/6 First Floor, Plot no. 131, Sector 44, Gurgaon-122002, Phone: +91 124 4420100 info@talentneuron.com www.talentneuron.com @talentneuron