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DAT_510_Q2064_Foundations_of_Data_20TW2_7_3_Final_Project_Milestone_Four___Conclusion DAT

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DAT_510_Q2064_Foundations_of_Data_20TW2_7_3_Final_Project_Milestone_Four___Conclusion DAT-510 DAT-510-Q2064 Foundations of Data 20TW2 7-3 Final Project Milestone Four: Conclusion Value The value of applying data analytics can not be overstated. Trends can be identified early. This can lead to preventive measures and cost savings and better outcomes for customers. The ability to identify trends is one of the largest areas of value that data analytics can provide. Predicting outcomes is vital in every business however it is especially vital in the insurance industry where data drives predictive models for outcomes. Another value of data analytics is literally the value to conduct real time analysis, â€œProviding real time analysis is no longer a costly Endeavor for the fewâ€ (Forbes, 2017). The ability to analyse data much easier then in the past can give a huge help to a smaller organization. The insurance company Sonia works for is trying to analyse the probability of a 2nd heart attack and help their customers by making lifestyle changes to prevent this. Consequently, this could enable the insurance company to lower their rates and be more competitive and gain market share. In this scenario there are mutual benefits for both parties. The insurance company can gain a reputation as a great organization because this analysis can benefit the public. The people can lead healthier lives and save money in the process. The insurance company can possibly gain market share and loyalty with its customers. Insights I feel the project has helped me gain a small a. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . .

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