Published On: Thu, Dec 15th, 2016

ENNIA adopts Guidewire Predictive Analytics

Ennia-CuracaoWILLEMSTAD - ENNIA, a full-service Caribbean insurance provider, and Guidewire Software, a provider of software products to Property/Casualty (P/C) insurers, today announced that ENNIA has adopted Guidewire Predictive Analytics™ to better compete in the six Caribbean islands where it operates – Aruba, Bonaire, Curaçao, St. Maarten, Saba, and St. Eustatius. ENNIA is the first Dutch Caribbean insurer to adopt this technology.

ENNIA selected Guidewire Predictive Analytics for Claims™ and Guidewire Predictive Analytics for Profitability™ to achieve greater customer insights and hone its sales and marketing strategies for customer growth and retention. This will enable its underwriters to make faster, smarter decisions on new and existing business. The products are currently being implemented in ENNIA’s property line of business, followed by motor and health.

“Implementing Guidewire Predictive Analytics represents a significant milestone in our company’s long-term business strategy,” said Servaas Houben, head of actuarial, ENNIA. “The advanced analytical insights gained will enhance the services we offer to our customers and enable future growth for ENNIA for years to come.”

“We were impressed by the different levels of claims and premium data Guidewire Predictive Analytics will be able to provide us. We will be able to tailor reports for specific audiences, from having graphics for presentations to our board to data analysis and insights for our insurance technicians,” added Chantal Pietersz-Seferina, chief operating officer, ENNIA.

“We are honored to participate in ENNIA’s journey to becoming more analytics and data-driven, while maintaining their core commitment to exceptional customer service,” said Ken Shapiro, group vice president, Americas Sales, Guidewire Software. “ENNIA presents a perfect example of a top insurance carrier that recognizes how advanced analytics have become an imperative for competitiveness and growth.”

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