DataGrand Information Technology (Shanghai) Co., Ltd.-C

CMMI认证查询 cmmirz 9年前 (2017-08-17) 904次浏览 0个评论
Organization Name:
(组织名称)
DataGrand Information Technology (Shanghai) Co., Ltd.
Organizational Unit:
(组织单位)
Technology Department
Maturity Level:
(成熟度)
Maturity Level 3
Appraisal End Date:
(评估结束日期)
Aug 18, 2017
Lead Appraiser:
(主任评估师)
Zhao Zheng
Sponsor:
(发起人)
Daqi Ji
Sampling Summary:
(抽样汇总)
Sampling Factors: Location (Not Relevant: All projects are developed in the Shanghai office. Location is not a relevent factor.)
Customer (Not Relevant: All products are developed for externally commercial customers. No processes are executed differently along with customer. So customer is not a relevant factor.)
Size (Not Relevant: All projects are of similar size in terms of team or effort(smalll size). So size is not a relevant factor.)
Organizational Structure: All products are developed under Technology Department. However, there are three teams under Technology Department: Recommendation System Development Team, Search Engine Development Team and Text Mining Development Team developing three types of product. Process as TS, PI and VAL differs from eath other in execution.
Type of Work (Not Relevant: There is only one type of work executed in the OU: data processing software development.)
Sampling Factor Values: RSD (Organizational Structure): Recommendation System Development Team
SED (Organizational Structure): Search Engine Development Team
TMD (Organizational Structure): Text Mining Development Team
Subgroups: Recommendation System Development Team: The products in this subgroup are developed to increase the rentention of visitors by presenting personalized contents based on user image by the Recommendation System Development Team.
14 People, 5 Basic Units
– RSD
Search Engine Development Team: The products in this subgroup are developed by the Search Engine Development Team to provide intelligent search by analyzed the users” intention.
8 People, 3 Basic Units
– SED
Text Mining Development Team: The products in this subgroup are developed by the Text Mining Development Team to capture big data and analyze the trend of traffic, user behavior and sales volume.
8 People, 3 Basic Units
– TMD

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