Alena Tsishchanka is an Insurance Practice Leader for SAS in EMEA. She works with customers and partners to analyze business processes, understand trends and issues and introduce innovative business analytics solutions. In particular, Alena provides functional and technical advice on how analytics applications could deliver real business value to customers in the insurance industry. One of her key goals is to create mutually beneficial customer connections and to establish collaborations across geographies.
In my previous post, I suggested that it was possible to provide a road map that would help with the introduction of artificial intelligence, advanced analytics and machine learning into insurance companies. This post outlines the process. Start at the beginning The first area to address is applications where the
The increased availability of data is opening up a new world of analytics to insurance companies. There are both new sources of data and also increased volumes of information, and together, these are being used to generate insights and influence decision making. This post, the second in a series on
Instant insurance, insurance on demand and real-time customer engagement are the buzzwords of the moment. These concepts are also, however, a real breakthrough in the insurance business. They describe new products and services that are strongly oriented to customer needs and follow their evolution throughout the life cycle. These changes
The Insurance Distribution Directive (IDD) comes into force in October this year. It is expected to have a wide-ranging impact on the insurance industry, because it fundamentally changes the focus of insurers from products to customers. This requires a radical rethink about how insurers do business. And as companies from
