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An Innovative Analytics Vision Becomes a Reality at Amerisure
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Functions
- Business Operation
Use Cases
- Predictive Maintenance
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
The Challenge
Amerisure, a leading provider of property and casualty insurance, wanted to enhance company performance by leveraging the intelligence in their enterprise data to improve profitability and foster a more analytics-driven culture. The company's data was complex and spread across disparate systems. They needed a framework that would enable them to harvest the intelligence within that data. The company also wanted to provide its agency partners with analytics about their accounts that they otherwise would not have access to. Amerisure was also looking to make these capabilities mobile to further enhance customer service and increase client longevity.
About The Customer
Amerisure is a leading provider of property and casualty insurance to businesses across the United States. The company, based in Michigan, primarily serves enterprises in manufacturing, construction, and healthcare. Their coverage includes general liability, workers compensation, property, auto, inland marine, and equipment insurance. Amerisure is ranked as one of the top 200 property and casualty companies in the country, with more than $600 million in direct written premiums and over $700 million in surplus. The company has been working tirelessly since 1912 to make America’s workplaces safer.
The Solution
Amerisure deployed the WebFOCUS business intelligence (BI) and analytics platform from Information Builders to streamline and accelerate claims and loss reporting. WebFOCUS replaced legacy-based report creation, printing, and distribution activities, providing monthly loss reports and other claim-related information via the web. The company also devoted a tremendous amount of time and resources to creating an enterprise data warehouse. Advanced analytics and standard reports were embedded directly into some of these systems as they were being upgraded, to provide end users with a better way to access and interact with information. Self-service reporting environments were also created, using WebFOCUS InfoAssist, to allow employees to go beyond traditional reporting to perform true analytics, such as “what if” analysis and data mining.
Operational Impact
Quantitative Benefit
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