The Application Of Big Data Modeling In The Construction Of Insurance Tele-sales System

With the progress of the times and the development of technology,information technology has been widely used in the whole industry,and achieved some success.However,with the implementation of the reform and innovation measures,especially the changes of related industries,new requirements are put forward.At present,on the establishment of a big data item of financial and insurance enterprises reality has become increasingly complex,the task becomes more and more serious,more and more functions to achieve,in this situation,the existing information project due to the generality and specific reasons,not able to meet the practical needs of the business.Combining with the current work,in order to develop a more practical,targeted,scientific and reasonable project modeling process,according to the current situation of the development of financial and insurance enterprises to establish a big data project,combined with the development situation of the actual work to grasp better from the theoretical level,add more step to promote related work has extremely important practical significance and the theory of meaning.As a holistic project,big data project includes platform development,data architecture,model building and marketing optimization.For such a very complex project,the project management theory is used to effectively solve and achieve excellent results.Based on the theory of big data and its practical application in real enterprises,this thesis studied the relevant mathematical theory and related logistic modeling according to the idea of asking questions,analyzing problems,establishing models,making solutions and optimizing solutions.By researching the data of massive property and casualty clients combined with the actual situation,this thesis focuses on the possibility of customers' purchasing tendency under the basic theory of logistic regression,constructs a big data model of property and casualty insurance,and realizes the significant improvement of performance in the light of the overall business conditions.Through the final purchase Behavior verification and evaluation,put forward a model of self-learning program,completed the new elements of the model to join and optimize,and ultimately solve the individual for the best customer risk insurance marketing programs.It is hoped that this paper can provide some corresponding ideas for the establishment of large data model,especially in the field of data theory and enterprise,customer demands,open up some new areas.In the case of large data,the better for the supply and demand to provide some useful advice.