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一汽-大众汽车有限公司大众品牌大数据合作代理年度代理公司招募公告

发布时间:2019年03月13日 来源:一汽-大众汽车有限公司 [ ] 打印 视力


  由于公司业务发展需要,现招募一汽-大众汽车有限公司大众品牌大数据合作代理年度代理公司。

  敬请关注以下内容。

  1. 招募标准

  1.1 公司注册时间:2017年1月1日前注册;

  1.2 公司规模:注册资金200万(含200万)以上,具备稳定核心团队人员20人以上(以申报公司为缴纳单位的近半年社保缴费证明或劳动合同为准);

  1.3 公司专业素质:

  · 具备量产品牌车企营销类项目咨询能力;

  · 具备较强的消费者洞察及营销创新经验;

  · 具备较强的大数据分析及数据算法模型建设能力;

  · 具备良好的外部数据源合作关系或本身具备高质量的数据源。

  注:其中1.1及1.2为否决项

  2. 招募须知:

  2.1 招募标准中的公司注册时间、公司规模、核心团队是招募的必要条件,不满足将不能够入围初选:

  2.2 本次招标将为“大数据合作代理”招募一家代理公司,大数据合作代理公司需要能够为大众品牌提供包含售前、售中、售后,全业务领域的大数据解决方案。

  2.3 签约后的业务范围:协助一汽-大众汽车有限公司大众品牌实现数据化创新和转型,包括业务场景识别、数据获取、数据准备、数据分析及建模、系统及技术辅助支持、营销落地解决方案等。

  · 基于对标、访谈等咨询工作,规划大众品牌大数据应用的业务场景及实施路径;

  · 在合法、合规的原则下,帮助大众品牌以业务需求为导向,定制化地进行各场景所需的高质量的外部数据合作;

  · 完成各业务场景的数据分析及业务洞察,支撑业务部门的数据化决策;

  · 完成各业务应用场景的数据建模、模型优化、效果监控及业务落地的全过程。

  2.4 商业机密保护:若招募成功,该签约公司必须遵守一汽-大众汽车有限公司相关保密协议。

  3. 需提交资料

  3.1 公司概况介绍,包括但不限于公司规模、分支机构等;

  3.2 招募申报表(详见附件):请如实填写贵司相关信息,加盖公司公章并请法人代表签字。

  3.3 公司资质:经年检合格的营业执照,税务登记证,组织机构代码证及其他证明材料;法人代表证明书或法人委托书;法人代表身份证、经办人身份证。(注:以上内容请提供复印件;营业执照请加盖公司公章并提供营业执照官网真伪查询信息)。

  3.4 组织机构及人员规划:完整的组织机构、职责、流程、工作考核记录、人员招聘标准、人员管理、培训、激励机制,员工数量及核心人员介绍(项目管理团队、业务咨询团队及大数据分析团队等)的数量、资历(需注明汽车行业从业经验)、工作年限及业务水平介绍;针对1.2中描述的核心团队人员必须提供近半年的社保缴纳证明,时间需包括2018年9月-2019年2月。

  3.5 近两年服务客户情况:国际知名汽车品牌厂商客户服务的同类数据项目情况(数量,客户名称,项目名称,项目简介)(请提供合同扫描件为证,详细内容可脱敏处理,但必须体现甲乙双方公司名称并能证明项目内容包含上述业务运营,并显示服务时间);

  3.6 近两年执行的数据相关类项目(数量,客户名称,项目名称,项目简介)(请提供合同扫描件为证,详细内容可脱敏处理,但必须体现甲乙双方公司名称并能证明项目内容包含上述业务运营,并显示服务时间);数据类项目:通过原始的数据处理、分析加工,进行智能的数据算法建模,不包含原始数据交易及通用标签查询服务。

  3.7 数据资源合作情况:各渠道的数据合作证明,如三大运营商等。以及在数据资源上,供应商能够在合法合规的基础上,获取的外部数据标签体系(能够为主机厂精准营销定位客户群体提供支持);若有请提供相关协议证明,并显示合作时间,否则视为无效。

  针对3.1-3.7,需将书面资料进行分类并单独形成文件,并有总目录说明。

  上述资料和信息必须属实。如查明有虚假资料和信息,将取消其招募资格。以上材料,请尽量提供中英双语。

  符合招募标准且有意愿参与招募评选的公司请将本公告第三条规定的材料简装版(密封处加盖公司公章)在北京时间2019年3月26日24:00点前通过顺丰速运邮寄至一汽-大众汽车有限公司采购部,以顺丰速运寄出时的当地邮戳时间为准,逾期提交的资料视为无效。另必须以邮件形式通知邮寄时间和快递号,以备查档所需。

  具体通讯地址及联系方式详见下面内容:

  商务联系人:吉林省长春市安庆路5号一汽-大众汽车有限公司采购部
  一般材料采购部费用采购科 孙亮亮 收  邮编:130011
  电话:0431-81220002    邮箱: liangliang.sun.sc@faw-vw.com
  业务联系人: 大众品牌用户体验业务部 贾梦楠
  电话:0431-81270576  邮箱:mengnan.jia@faw-vw.com

  4. 招募流程:

  4.1 招募公告官网发布

  4.2 收集应招公司资料

  4.3 相关资料筛选评审,应标代理公司可派一人现场参与评审,对于提交的材料进行解释说明

  4.4 如提交资料初审通过,将通知该公司下一步工作

  附件:《招募申报表

  注:本公告最终解释权归一汽-大众汽车有限公司所有。

  附录:国际知名汽车品牌

FAW-VW VW Brand Annual Big Data Collaboration Agency Recruitment Announcement

  VW Brand needs to recruit annual big data collaboration agency due to business development. Please see the following content:

  1. Recruitment criteria:

  1.1 Company registration time: before January 1st 2014

  1.2 Company scale: over 2 million RMB (include 2 million RMB) registered capital, with stable core team ( over 20 people)

  1.3 Company expertise:

  · Strong capability of marketing & sales consulting projects with relevance to mass production auto brand.

  · Deep insight into customer and innovation experience in auto marketing & sales field.

  · Strong ability of data analysis and data arithmetic model building.

  · Outstanding cooperative relationship with external data sources or own high quality data itself.

  *The item 1.1 & 1.2 are the votes of the recruitment.

  2. Recruitment notice:

  2.1 The content 1.1 and 1.2 in recruitment criteria such as company registration time, company scale and core team are the necessary requirements, if not, the company is not permitted to the primary election

  2.2 This open tender will select one agency for VW brand big data collaboration. The agency needs to be able to provide VW brand a set of big data solutions for full business field, including pre-sale, in-sale, and after-sale.

  2.3 Service scope:Assist FAW-VW VW Brand to realize digital innovation and transition,Including business use case recognition, data acquisition, data preparation, data analysis and modeling, IT system and technical support, marketing & sales landing solutions, etc.

  · Based on consulting work such as benchmarking and interview, plan the business use cases and implementation path of big data application for VW brand.

  · Under the principle of legality and compliance, help VW brands customize the high-quality external data cooperation required by various business use cases based on business needs;

  · Complete data analysis and business insight of business use cases to support each business department's data decision-making;

  · Complete the whole process of data modeling, model optimization, effect monitoring and business landing for each business application use case.

  2.4 Business secret protection: The contracting company must abide by the FAW-VW Company’s related confidentiality agreement.

  The agencies that meet above qualifications and want to participate in the recruitment are requested to send a brief version of the materials specified in Article 3 (sealed with the company's official seal) to FAW-VW Automobile Co., Ltd. Purchasing Department by SF Express before 24:00 on 26th Mar, 2019. Document submission time should base on the postmark of local SF Express delivery, the overdue submissions are deemed invalid. In addition, please email us your mailing time and express number for inquiry.

  Postal address: Sun Liangliang, Purchasing Department of FAW-VW Automotive Co., Ltd. No. 5, Anqing Road, Changchun, Jilin. Post Code: 130011
  Commercial Contact Person:
  Sun Liangliang:0431-81220002
  Email: liangliang.sun.sc@faw-vw.com
  Business Contact Person:
  Jia Mengnan:0431-81270576
  Email: mengnan.jia@faw-vw.com

  3. Recruitment documents:

  3.1 Company introduction, including but not limited to company size, branches, etc.

  3.2 Application form (see attachment): Please fill in the company information truthfully, stamp the company's official seal and sign the legal representative signature.

  3.3 Company qualifications: effective business license, tax registration certificate, organizational code certificate and other certification materials that have passed the annual inspection; certificate of legal person representative or letter of attorney of legal person; ID Card of legal person representative and ID Card of agent. (Note: Copies of the above contents should be provided; business licenses should be stamped with company seals and provide with business license authenticity online query information).

  3.4 Company management structure and staff: the number, the qualification (especially automobile industry experience) of various professional team members (including project management team, business consulting team and big data analysis team), working life and business level introduction; for the core team members described in 1.2, they must provide proof of social security payment for nearly half a year (September 2018 – February 2019).

  3.5 The status of service client in the past two years: the situation of serving clients of international well-known automobile brand (quantity, customer name, project name, project introduction, please provide the contract as evidence). Data related business definition: By the original data analysis, to make the data algorithm modeling, except the original data exchange and label searching service.

  3.7 Data resources cooperation situation: data cooperation certification of various channels, such as the three major operators. In terms of data resources, the supplier can obtain the external data labeling system based on legal compliance (can provide support for the OEM's precise marketing and positioning customer groups). Please provide relevant agreement proof, otherwise it will be considered invalid.

  As for 3.1-3.7, it is necessary to classify and form separate the documents with general catalogue description.

  The above information and documents must be truthful. If fake information or document is found, the recruitment qualification will be cancelled. Please provide the above materials in both Chinese and English version as far as possible.

  4. Recruitment process:

  4.1 Recruitment announcement published on official website.

  4.2 Collect the information of the applicant company.

  4.3 For the documents review and selection, the agency may send one person to participate in the on-site evaluation and explain the submitted materials.

  4.4 Inform the qualified agencies about the next step.

  Note: FAW-VW Automotive Co., Ltd reserves the right of final explanation for this announcement.

  Attachment:International famous automobile brand