Customer churn and fraudulent claims in today’s insurance industry can translate to losses for providers. Insurance organizations can stay one step ahead by deploying predictive analytics to determine future outcomes.
Mobile computing is on the rise, and mobile document capture is the next logical step for organizations in document-intensive fields such as banking, insurance, government, healthcare and education. Mobile document capture allows employees and customers to capture documents from their point of
Are you looking for a way to grow your business? By proactively managing customer relationships through predictive analytics, insurance companies can retain customers and increase revenues through cross-sell and up-sell opportunities. Customer analytics give organizations insight into customer
For insurance companies, the integration of big data and analytics solutions with telematics technologies offers important opportunities to extend the use of telematics data beyond usage-based insurance (UBI) and improve competitive differentiation.
Senior leaders at Westfield Insurance realized that future success depended on gaining a better understanding of the performance of its business and its network of agents. However, driving a more analytical approach to decision-making would require not only new technology, but also significant
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Using IBM Smarter Commerce technology to help ensure timely response to policyholders.
“When customers contact us through their iPhones, Facebook, Twitter, LinkedIn or email, they receive the same timely attention as when they call the company or go to our web portal.” —Werner Kruck, chief
Organizations today are collecting tremendous volumes of data, generated by a wide variety of sources, often at extreme velocities. This is “big data”—the millions of stock trades, call detail records (CDRs), social media posts and patient test results produced every single day. Leading