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Acordo Certo's Transformation with Google Cloud: A Case Study on Data Intelligence and Machine Learning
技术
- 分析与建模 - 机器学习
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 设备与机械
- 电信
适用功能
- 采购
用例
- 租赁金融自动化
- 智能合约
服务
- 云规划/设计/实施服务
- 培训
挑战
据 Serasa Experian 称,违约问题影响了超过 6300 万巴西人。银行、零售商、电信公司和其他债权人长期以来完全依赖收债机构的工作,这些机构通过呼叫中心联系消费者,采用同质且往往不恰当的策略。 2017 年,Acordo Certo 作为传统收藏模式的替代方案出现。该公司没有聘请专门的团队来联系债务人,而是建立了一个平台,让消费者在全数字化流程中自行检查、协商和偿还债务。这种模式为债权人提供了规模,并为那些寻求偿还债务的人提供了便利。
关于客户
Acordo Certo 是一家巴西公司,专注于为违约消费者提供财务福利。他们通过数字平台简化债务跟踪、谈判、付款和通知流程。他们拥有 40 多个合作伙伴,其平台上每月有近百万新订阅,产生大量数据。
解决方案
Acordo Certo 迁移到 Google Cloud 解决方案,以提高其数据处理和分析能力。他们采用 BigQuery 作为数据仓库,为复杂查询提供强大的处理能力和快速响应时间。他们还利用 Google Kubernetes Engine (GKE) 和 Cloud Build 来更快地部署新功能,并利用抢占式虚拟机来降低成本。 Cloud Composer 和 Dataflow 用于数据编排和处理,而 AutoML 则支持机器学习模型训练和评分。 Acordo Certo 还使用 Google Cloud 解决方案开发了自己的优化工具。
运营影响
数量效益
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