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Digitizing Emergency Roadside Assistance: Agero's Transformation with Splunk
技术
- 网络安全和隐私 - 身份认证管理
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 汽车
- 建筑与基础设施
适用功能
- 销售与市场营销
用例
- 资产跟踪
- 车辆到基础设施 (V2I)
服务
- 云规划/设计/实施服务
挑战
市场领先的道路救援公司 Agero 需要将服务数字化,以加快响应时间并为客户提供更好的服务。
Agero 24/7 全天候提供关键的驾驶员支持服务——从路边援助和联网车辆服务到事故现场管理等。
该公司每年响应大约 1200 万个事件,为在美国销售的许多新车提供这些服务,并通过三分之二的美国汽车保险公司(覆盖超过 1 亿消费者)提供这些服务。
作为一家软件公司,Agero 一直依赖其内部呼叫中心代理的复杂工具。但为了使其服务更好,Agero 希望让它们更易于观察,并提供完全数字化、透明的体验,以便更好地确定位置、调度车辆,并在客户发生事故或被困在路上时提供所需的帮助。
客户
阿杰罗
关于客户
Agero正在大规模引领驾驶员辅助服务的数字化,通过平台智能和人力解决方案的独特组合来保护路上的消费者。
解决方案
作为其数字化推动的一部分,Agero 最初实施了 Splunk Observability Cloud 以实现更好的监控和可观察性,以便能够对问题进行故障排除和主动响应。但是,一旦公司开始数字化,工程和产品团队就越来越依赖 Splunk 解决方案,因为它为他们提供了一种灵活的方式来使用任何格式的非结构化数据。
Splunk Cloud 对 Agero 的 DevOps 基础设施管道也至关重要,它提供了一个灵活的平台来监控和跟踪跨 SRE、工程、产品和业务团队的数据,而不会出现任何瓶颈问题。
运营影响
数量效益
相关案例.
Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.