- Sampling Summary：
（抽样汇总） -
Sampling Factors: Location (Not Relevant: All projects are executed out of Hangzhou, China) Customer (Not Relevant: All customers are banks/financial institutions and focused on fraud detection in bank transactions)
Size (Not Relevant: The size of project is around 10 FTEs)
Organizational Structure (Not Relevant: The projects are handled by R & D Department)
Type of Work: The projects are either focused on front end or back end transaction processing for identification of various inputs for financial risks
Sampling Factor Values: Front end transaction processing (Type of Work): The projects are focused on front end transaction processing like a credit or debit card transactions or internet, mobile transactions Back end transaction processing (Type of Work): The projects focused on back end transactions through big data, AI and data mining to find possible transaction frauds
Subgroups: Back end transaction processing: The projects focused on back end transactions through big data, AI and data mining to find possible transaction frauds
25 People, 2 Basic Units
– Back end transaction processingFront end transaction processing: The projects are focused on front end transaction processing like a credit or debit card transactions or internet, mobile transactions
37 People, 3 Basic Units
– Front end transaction processing