monitoring of insurance fraud using big data
It announced on the 19th that it will improve the insurance fraud monitoring process that uses big data to detect insurance fraud more precisely and scientifically.
DGB Life Insurance, which has established and operated the Fraud Detection System system since 2019, has recently been responding to a large-scale organized and intelligent environment for insurance fraud
It is promoting a project to improve monitoring of insurance fraud based on big data technology.
In fact, according to the Financial Supervisory Service, the amount of insurance fraud detected has steadily increased every year, and last year,
Its size and seriousness are growing, reaching nearly KRW 1 trillion with KRW 943.3 billion.
In particular, in the past, insurance fraud was mainly caused by conspiracy of people with certain personal relationships
Recently, it is also characterized by an increase in the proportion of people who have no personal relationship to participate in insurance fraud based on various social platforms.
Using various techniques, even those suspected of conspiracy are identified, and whether they are connected to related hospitals or insurance planners is also examined
A process has been developed to effectively respond to organized insurance fraud