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8x8 Empowers Real-Time Contact Center Analytics with Confluent
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 国家安全与国防
- 零售
适用功能
- 人力资源
- 物流运输
用例
- 实时定位系统 (RTLS)
- 篡改检测
服务
- 云规划/设计/实施服务
挑战
在关键任务、多租户环境中为基于云的通信服务提供实时分析。
作为快速发展的多租户 SaaS 联络中心解决方案，8×8 需要一种快速且经济高效地添加新客户的方法。为了支持这一点，该公司决定为所有客户提供一个单一的事件流平台——一个可以随着新客户的加入而快速、轻松地扩展的平台。
该平台需要是多租户的，提供严格的数据分离——这是客户的一项关键要求——并且鉴于其任务关键性质，它必须具有高度的弹性。强大的安全性也是必须的，因为 8×8 处理敏感的呼叫者信息。
客户
8×8
关于客户
作为领先的云通信平台提供商，8×8 使超过一百万的企业用户能够更快地协作和更智能地工作。该公司在统一的全球平台上提供语音、视频、聊天和联络中心解决方案，并辅以实时分析，帮助企业取悦客户并加速业务发展。
解决方案
使用 Confluent 创建一个可靠、安全且可扩展的事件流平台，该平台收集和分析呼叫和其他事件，生成数十亿个指标，为 8×8 的客户提供实时仪表板。
在 8x8 的目标架构中，Confluent Platform 以高可用性配置安装在公司 16 个数据中心的每一个中。
该公司还使用 Confluent Control Center 来监控和管理其 Kafka 基础设施。这可以在出现问题时为客户提供主动警报，并且客户非常欣赏这些警报。
运营影响
数量效益
相关案例.
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How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
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Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
