OpenLegacy
概述
总部
美国
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成立年份
2013
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公司类型
私营公司
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收入
$10-100m
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员工人数
51 - 200
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网站
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推特句柄
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公司介绍
OpenLegacy 通过自动化和标准化创建数字服务的过程来帮助组织快速启动创新的数字计划。借助 OpenLegacy 的基于微服务的 API,即使是最复杂的组织也可以在不更改后端系统的情况下加速新创新的交付。
物联网解决方案
以您想要的方式工作的 API 集成工具 - 快速简便的API 连接器:只需几分钟,您就可以从任何核心系统中自动提取强类型元数据,以创建包含业务逻辑的标准 Java API。 API 设计:使用内置模板和向导,自动将后端实体对象扩展到 Web 或移动应用程序、REST API 或 SOA Web 服务。 API 增强:注入多层安全性并加速性能。如果需要,编辑元数据以创建自定义解决方案。 . API 部署:一键式部署意味着任何 Java 开发人员都可以轻松地为任何数字服务使用和重用 API。随时随地进行创新。 API 测试:我们的 API 软件可帮助您跟上内置 JUnit 测试和运行时持续测试的步伐。 API 管理:通过监控谁在使用 API、如何使用以及在何处使用来轻松管理您的 API。
物联网应用简介
技术栈
OpenLegacy的技术栈描绘了OpenLegacy在等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
Real-Time Error Tracking and Handling in JSW's Manufacturing Plants with OpenLegacy
JSW, a multi-billion dollar company, is a key player in India’s steel, energy, cement, and infrastructure industries. The company's steel manufacturing is spread across multiple plants, each housing dozens of machines with numerous sensors tracking multiple data points and supplying event data every 2-3 seconds. This data includes field maintenance, material consumption, and machine usage. Although the data is saved in each machine’s database and transferred to the central Oracle databases, the process had significant issues. Each machine used its own data protocols, making the data transfer processes 'closed' and lacking a standard way of reporting errors. As a result, some errors went unnoticed for a long time, leading to financial losses. For instance, the production of metal with incorrect dimensions could go unnoticed, resulting in significant waste and financial loss.
Case Study
Citibanamex's Digital Transformation: A Mobile-First Strategy with OpenLegacy
Citibanamex, a part of Citibank corporation, was facing a challenge in keeping up with the rapidly evolving Mexican consumer banking market. The bank's primary goal was to deliver a seamless, personalized user experience across both digital and traditional channels. The bank's mobile application rating was a mere 2.0 out of 5, indicating a need for innovative digital offerings to improve the user experience. The bank's core technology stack was a proprietary mainframe system, which ran core business applications such as payments and account management. Over time, modernization projects led to an increasing spiral of complexity with various tools, mainframe gateways, ESBs, middleware, dispatchers, routers, and messaging queues. Each system had a different way of handling the backend legacy platform, making it harder and more cumbersome to integrate with legacy applications. After years of unsuccessful, costly integration attempts, Citibanamex was left with the same needs and challenges, only exacerbated. The focus shifted to the Customer Digital Experience and the End-User Journey, and they needed a partner that could help them rapidly develop and deploy innovative customer offerings on top of their core systems.
Case Study
Autogrill's Supply Chain Enhancement through IoT Connectivity and Visibility
Autogrill, a multinational catering company operating in 30 countries, faced a significant challenge in providing their suppliers with direct access to their core system data. The suppliers required this access for improved visibility, analytics, and order effectiveness. Autogrill also needed better anticipation of stock levels, localized costs in each market, and additional supply chain information. The data resided in their IBM i (AS/400) and SAP systems, and accessing it in a quick, secure, and cost-effective manner without creating thousands of queries was a significant challenge. Autogrill was in search of a partner who could support them in achieving these goals and provide secure services granting real-time information from their core systems.
Case Study
AIG Enhances Customer Experience and Boosts Efficiency with OpenLegacy
AIG, one of the world's largest financial and insurance companies, faced significant challenges in delivering a seamless customer experience. Despite promoting a 'one call does it all' approach, their call center representatives had to manually enter data from their call center application into their core insurance system. Their IBM i applications, while reliable, were difficult to integrate with other systems in the technical stack. This made it nearly impossible to provide users with instant calculations of car insurance exchanges, a process that would have taken a year of development with the existing tools. This delay could potentially lead to the loss of clients and increased costs. AIG had invested heavily in streamlining their call center processes, but implementation proved challenging and the long-term approach was still far from achieving a fully online, fully digital workflow. Additionally, AIG needed a better way to pay insurance claims without redundant, monthly manual effort. The process took eight days of work every month and could not be done on the legacy system, leading to frustration and a sense of wasted time and effort for the insurance agents.
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