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
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。
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。
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
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.

Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.

Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.

Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.

Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.

Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.

Case Study
Data Gathering Solution for Joy Global
Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.