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Submitted By richa2723
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CarZuma: Car Insurance Claim Case Study Problem Statement
A car insurance company, CarZuma, has collected some of the past data about their clients or customers that what are their attributes as well as their insured vehicles attributes while insuring the same. They have heard a lot about the data analytics and are very sure that their competitors are also using some of these techniques to beat the competition. They have to be very focused to their target segment. Please help the company to answer some of their basic questions like:
1. What kind of segments generates better leads?
2. What would be a good target segment? And which segment is a “bad” segment?

Solution For a car insurance company, it is important to determine different segments of customers based on the profitability to generate better leads. Hence , we have tried in our analysis to segment the customers that should be targeted for profitability and that which can be considered “bad”, i.e., not profitable to the customers. Reasons Analytics has been used to address the problem: - * Lots of data but little conclusive information * Analytical capability is a Key Competitive Advantage * Information should be appropriate to take action in corporate
Our Approach: Steps Followed 1. Identification of Appropriate Data 2. Perform Required Statistical Analysis 3. Segmentation of Customers based on desired criterion 4. Characteristics identification of Customers based on segment 5. Planning business strategies for the targeted segments
Data Used * Primary data is provided for the company “CarZuma Insurance” * For different analysis, we used appropriate attributes given in the data 
 * Consistency check for out of range, logically inconsistent and Outlier 
 * Check for missing data

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