Big Data in Insurance Industry
|出版日期||內容資訊||英文 61 Pages
|保險產業上巨量資料 Big Data in Insurance Industry|
|出版日期: 2015年11月09日||內容資訊: 英文 61 Pages||
Insurance companies routinely analyze huge volumes of data related to workplace claim and injury data, workers' compensation, aggregated exposures with respect to catastrophic events, mortality and morbidity tables used in life and health insurance, loss, construction, fire protection and historical weather. Risk planning and evaluation as a category is fairly wide and covers the actuarial, product management, and underwriting aspects of business. This includes areas such as catastrophe modeling and loss control since they are also about assessing and managing risk.
With the growth and advances in technology and communication in conjunction with the explosive growth of data, customer is at the center of every organization's focus. Insurance companies have specifically been made to create simpler and more transparent products in line with changing customer preferences. Companies are now looking at predicting customer behavior and obtaining insight into value with a view to developing and optimizing claims that will in turn result in improved customer retention and profitability.
This research evaluates the market for Big Data in the Insurance industry including high-impact areas and those with high ROI potential. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.