Publication Type:

Journal Article

Source:

International Journal of Applied Engineering Research, Research India Publications, Volume 10, Number 16, p.37289-37294 (2015)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84942057511&partnerID=40&md5=08c603935118877a62d4930c610ba3f7

Abstract:

Customer choice identification is the base for any product based company. Market analysis many times does not provide an exact image when product is one like Life insurance.Life insurance company basically has the belief of covering the risk of life of the policy holder. As product is an immaterial one identifying the customer is a hard task, more over prediction will be based on several criteria that changes with market trends, these factors generate a need for decision making system with a self evolving intelligence to identify proper choices from the customers before launching the policy in market. Major aim is to develop a self evolved machine learned business data intelligence system for an Insurance industry.As there are lot of companies,customers and policies there is a requirement of a cloud based solution to enhance the system capabilities. System helps to portray the market trend analysis model based on customer suggestions and feedback accumulated from the previous product launch. © Research India Publications.

Notes:

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Cite this Research Publication

A. Prabhu and Manishankar, S., “Predictive analysis of customer perspective on insurance policies and market trend analysis based on datamining and learned algorithm”, International Journal of Applied Engineering Research, vol. 10, pp. 37289-37294, 2015.