{"id":1320,"date":"2016-07-19T06:16:19","date_gmt":"2016-07-19T12:16:19","guid":{"rendered":"https:\/\/cigniti.com\/blog\/?p=1320"},"modified":"2020-04-30T20:51:59","modified_gmt":"2020-04-30T15:21:59","slug":"need-big-data-testing-insurance-industry","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/need-big-data-testing-insurance-industry\/","title":{"rendered":"Why do we need Big Data Testing in the Insurance Industry?"},"content":{"rendered":"

Several accounts of people leaving lucrative jobs in order to work for themselves have popped up repeatedly over recent times. Marketplace aggregators such as Uber have ensured that these dreams could be achieved by the average person. Concepts such as \u2018ride sharing\u2019 enable consumers to commute to their destination by paying per trip and using the Uber application, which connects them to owners of cars that would be willing to drive to the requested destination, by getting paid for their services through Uber. This implies an income of nearly USD $150,000 per year after putting in about 70 hours of driving every week. (Source<\/a>)<\/p>\n

The overriding concern of most of these cab drivers, however, is the safety of their vehicles among uncertain roads and the strangers that continuously hop in. Marketplace aggregators have therefore recognized the need to partner with insurance companies in order to provide auto insurance and motor insurance policies to their drivers.<\/p>\n

Leading insurance providers offer an excellent array of insurance coverage including life, property, along with automobile or auto insurance. The insurance industry can clearly be said to be data-dependent. Data capture in the insurance sector remains crucial owing primarily to the following reasons:<\/p>\n