Analyze data patterns to find fraudulent insurance claims

In this developer code pattern, we will analyze insurance claims data and determine whether there are any fraudulent claims filed by users. We do this by analyzing data patterns using IBM Db2 Graph. Analysts from insurance companies can visually analyze the graph by finding patterns in data related to patients, doctor visits, multiple claims, etc. and determine whether there are suspicious claims filed. As the volume of data grows, it has become a challenge to analyze vast networks of connected data. To overcome this, there is a rapid adoption to graph database technologies, since they're built around relationships and represent data in a way that is more intuitive to read and gain insights.