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Data Mining Prospective Associated with the Purchase of Life Insurance Through Pbkp_redictive Models

Abstract:

This work proposes the creation of an analytical model which allows improving the effectiveness of sales through the use of business intelligence and data mining methodologies which allow analyzing the historical information of corporate clients and determining the probability of buying a product. In this research, methodologies, and tools are used that allow structuring the steps to define the task, collect and analyze data, choose and configure the model, format data, evaluate results and report them to decision-makers. This will allow testing various analytical models that train them and compare them with historical data, provide new data, which eventually will help increase sales effectiveness, highlighting that the data used for this analysis are demographic data, socio-economic aspects, and any information that contributes to having a framework to be reused in future sales campaigns.