下载PDF
icare makes filing insurance claims as easy as one, two, click
技术
- 应用基础设施与中间件 - API 集成与管理
- 分析与建模 - 机器学习
- 基础设施即服务 (IaaS) - 云计算
适用功能
- 商业运营
用例
- 欺诈识别
- 监管合规监控
服务
- 系统集成
- 数据科学服务
挑战
Australian workers' compensation insurance company, icare, protects 3.6 million people across 326,000 businesses and 193 government agencies. The company needed to improve its customer experience by delivering a digital, machine learning-driven system that makes submitting and processing claims quick and easy. However, icare's customer data were siloed in SaaS and legacy systems, creating a disjointed, slow process in which customers had to fill out paperwork and visit multiple websites to submit claims, choose a policy, and more.
关于客户
icare is an Australian workers' compensation insurance company that protects 3.6 million people across 326,000 businesses and 193 government agencies. The company is committed to delivering best-in-class, timely services to its customers. For icare, delivering best-in-class services for customers is a social responsibility and key to ensuring a healthy, financially stable life for customers and their families. The company aims to enable customers to focus on their health and return to work by providing a seamless and efficient claims processing system.
解决方案
To build the claims insurance system, the icare team decoupled and modernized legacy systems using APIs. They also built 200 integrations that connected 36+ legacy and SaaS systems, including Salesforce, Guidewire, SAP S/4HANA, Okta, Onbase, Exstream, and SQL servers. Today, using APIs and integrations, icare can surface data from multiple systems through a single claims insurance interface. In addition, by decoupling systems using APIs, icare was able to migrate entirely to the cloud, instead of relying on legacy systems. With Anypoint Platform, icare not only moved towards a cloud, agile, and highly available architecture, but also minimized spend by eliminating legacy system maintenance costs.
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring for Environmental Compliance
Emerson wanted to provide a connected environmental analyzer to their customers. They wanted to leverage IoT technologies to provide a software solution that was easy to use, real-time and centralized. Compliance with pollution control board guidelines and the ability to remotely calibrate and troubleshoot these devices was the primary objective. Requirements - Centralized Remote Monitoring. - IoT Based Smart Environmental Analyzers. - Remote Calibration and Troubleshooting. - User Friendly Application. - Reporting & Dashboards. - Compliance with pollution control board guidelines.
Case Study
ELI LILLY ADOPTS MICROMEDIA’S ALERT NOTIFICATION SYSTEM
Pharmaceutical production is subject to a strict set of enforced rules that must be adhered to and compliance to these standards is critically necessary. Due to the efforts of WIN 911’s strategic partner Micromedia, Lilly was able to adopt an alarm notification infrastructure that integrated smoothly with their existing workflows and emergency hardware and protocols. These raw energy sources enable the industrial process to function: electricity, WIN-911 Software | 4020 South Industrial Drive, Suite 120 | Austin, TX 78744 USA industrial steam, iced water, air mixtures of varying quality. Refrigeration towers, boilers and wastewater are monitored by ALERT. Eli Lilly identified 15000 potential variables, but limitations compelled them to chisel the variable list down to 300. This allowed all major alarms to be covered including pressure, discharge, quantity of waste water discharged,temperature, carbon dioxide content, oxygen & sulphur content, and the water’s pH.
Case Study
IoT Solutions Give Commercial Fishing Real-time insights
Technology to support vessels in the commercial fishing industry had not changed significantly since the advent of radar. Over the past 40 years commercial fishing in the United States has continued to be one of the most active, yet regulated industries. The combination of federal regulations and lack of technology created an opportunity for Faria Watchdog to go-to-market with a solution.
Case Study
Largest Production Deployment of AI and IoT Applications
To increase efficiency, develop new services, and spread a digital culture across the organization, Enel is executing an enterprise-wide digitalization strategy. Central to achieving the Fortune 100 company’s goals is the large-scale deployment of the C3 AI Suite and applications. Enel operates the world’s largest enterprise IoT system with 20 million smart meters across Italy and Spain.
Case Study
KeyBank's Digital Transformation with Confluent's Data in Motion
KeyBank, one of the nation's largest bank-based financial services companies, embarked on a national digital bank initiative following the acquisition of Laurel Road, a digital consumer lending business. The initiative aimed to build a digital bank focused on healthcare professionals looking to refinance student loans and buy homes. A significant challenge was reducing the time to market for new products by democratizing data and decoupling systems across the IT landscape. Like many large enterprises, KeyBank had a variety of vendor applications, custom applications, and other systems that were tightly coupled to one another. New projects often required developing specific point-to-point integrations for exchanging data, which did not address the needs of other downstream systems that could benefit from the same data.
Case Study
Bank BRI: Revolutionizing Financial Inclusion in Asia with Digital Banking
Bank Rakyat Indonesia (Bank BRI), one of the largest banks in Indonesia, was faced with the challenge of increasing financial inclusion among unbanked Indonesians. The bank had an ambitious target of having 84 percent of Indonesians participating in the banking system by 2022. However, the bank's legacy technologies were proving to be a hindrance in achieving this goal. Each of the bank's products had their own public APIs, which were difficult to manage, secure, and monetize. Additionally, the process of onboarding new partners using host-to-host and VPN technology was time-consuming, taking up to six months. The bank also faced the challenge of reaching a largely rural population, with an estimated $8.3 billion in currency being held outside the banking system.
