- Sampling Summary：
（抽样汇总） -
Sampling Factors: Location (Not Relevant: No. Location does not make a difference to the process. Standard consistent process is used in all locations.)
Customer (Not Relevant: No. All Commercial customers requiring similar products.)
Size (Not Relevant: No. Size does not make a difference, standard process is used on all projects regardless of size.)
Organizational Structure: Yes. Business units
Type of Work: Internal and external productsSampling Factor Values: Beijing International (Organizational Structure): International Projects
Beijing Big Data (Organizational Structure): Big Data Projects
Chengdu Software Internal (Organizational Structure): Internal Security Products
Chengdu External (Organizational Structure): External security products development
Nanjing External (Organizational Structure): Customised software Product development for external customers
Hangzhou Cloud Internal (Organizational Structure): Internal cloud on-line products and broadcast products development
Internal Projects (Type of Work): Internal product development
External Projects (Type of Work): External productsSubgroups: Hangzhou AsiaInfo Cloud Information Technologies Ltd./Internal: Internal cloud on-line product development
180 People, 7 Basic Units
– Hangzhou Cloud Internal
– Internal Projects
AsiaInfo Yuanhang Software (Beijing)/Internal: International Projects
200 People, 10 Basic Units
– Internal Projects
– Beijing International
AsiaInfo Technologies (Nanjing), Inc./External: Customised software Product development for external customers
290 People, 9 Basic Units
– External Projects
– Nanjing External
AsiaInfo Technologies (Chengdu), Inc./External: External Security products
100 People, 5 Basic Units
– External Projects
– Chengdu External
AsiaIno Technologies (Chengdu), Inc./Internal: Internal security produts development,
113 People, 5 Basic Units
– Chengdu Software Internal
– Internal Projects
Beijing AsiaInfo Data, Inc./Internal: Big Data analysis and products
400 People, 23 Basic Units
– Internal Projects
– Beijing Big Data