CATEGORY: analytics

Collecting relevant data and analyzing it to identify both potential risks and opportunities is nothing new to insurance companies. In fact, insurance actuaries been early adopters of the most cutting-edge statistical analysis tools available since insurers were first writing policies on cargo transported by sailing ships and trade caravans. It was those early efforts in analytics that enabled[…]

Data is information collected in a prescribed manner for use as a reference or analysis. Raw data is collected and properly disseminated to create a definite set of information related to a particular topic. Once created, data can be used as a building block for creating new insights through Analytics. These are different types of Data Analytics:

Thanks to the headlines, the average person probably thinks a Chief Data Officer’s role is locking down an organization’s databases against hackers and sending out “Our privacy policy has changed” emails. But for organizations leading the way in digital transformation, the CDO is responsible not for corralling information, but for creating value. They play increasingly-critical strategic roles in[…]

Big data is becoming an integral part of nearly every organization and business. It’s spreading so rapidly, organizations are finding it difficult to manage with a limited number of data science professionals. Enter self-service analytics.

With a constantly changing regulatory environment, health insurance CEOs are facing a complicated environment going into 2018. Here are the top four concerns facing insurance CEOs.