Dinesh Mishra was the owner of an apparel showroom situated in a commercial area of Navi Mumbai. The showroom stocked clothes for wealthy, trendy young people. It carried a variety of designs and premier collections designed by famous designers, including Ritu Beri. On weekdays Mishra would stay in the apparel showroom upto am as people in the city preferred to do late evening shopping. Thus, he could not spend sufficient time with his family during weekdays. Every weekend Mishra spent time with his family.
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Things to learn from car insurance case studies
vizualytics| Insurance Claims Analytics Case Study
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Top 10 Data Science Use Cases in Insurance
The client is an Insurance company operating in Asia that needed more insight into their claims operations. Claims workflow data was required to be integrated with Claims transactions in order to provide efficiency metrics and team based performance metrics. In order to provide the right metrics for users to analyze, the implementation process involved a fair amount of calculations through customized scripts, in order to automate and derive metrics according to the right business definitions.
The ability to gain insights from data sets is directly tied to the rising importance of gaining actionable Investigative Intelligence within financial institutions, and particularly within Fraud Risk Analysis departments. This case study highlights how insurance companies, in this case a health insurance provider, can mitigate their risk by conducting investigative research across previously siloed and un-related data sets. A top US Health insurance company was concerned about patterns of claims from particular hospitals, doctors, geography and patients but had no consistent source of investigative data to initiate detailed investigations.