clustering model - insurance claims
TRANSCRIPT
CLUSTERING
Presented by : Ashish Ranjan Vaibhav Jain
Objective of the StudyO Maximize the company profits by
segmenting the business according to the markets where the claim/coverage ratio is least.
O To estimate the claim/coverage ratio for each clusters & focus on the income group having highest income with least product penetration.
Data Variables ExplainedO Claim Id O Incident DateO Claim Type : 1. Wind/Hail 2. Water Damage
3. Fire/Smoke 4.Contamination 5. Theft/Vandalism
O Policy IdO CoverageO IncomeO Town size O Others Variables
Data Snapshot
Data Snapshot
Rapid Miner
K-Means Clustering
Clustering AnalysisAttributes cluster_0 cluster_1 cluster_2 cluster_3 cluster_4
Claim Amount 32.13595628 646.7065116 429.937594 67.60462253 124.0138065
Coverage 136.2993755 1453.186047 588.8721805 402.1022067 1021.9
Income 46.86104606 199.0813953 109.7518797 83.51800232 134.5645161
Members 2562 86 133 861 310
CLAIM/COVERAGE(%)
23.57747874 44.50266455 73.01034219 16.8127957 12.13561077
The claim/coverage % is highest for Cluster 2 i.e. 73% and the members contributing towards the same are
also less. But the average income of the members are significantly high.
Clustering Analysis
cluster 1 2 3 4 5 Grand Total
cluster_0 630 389 589 227 727 2562
cluster_1 10 6 46 19 5 86
cluster_2 86 47 133
cluster_3 228 130 163 70 270 861
cluster_4 95 52 35 15 113 310
Grand Total 963 577 919 378 1115 3952
Types of Claims
Cluster 2 contains only claim types 3 (Fire) & 4 (Contamination). Hence, company should focus on increasing their portfolio bucket by offering other insurance coverage's i.e. 1 (Wind/Hail), 2 (Water
Damage) & 5 (Theft) .
Clustering Analysis
Cluster >2.5 L (1)50TH-
2.499L(2)10TH-
49.99TH(3)2.5TH-
9.999TH(4) <2.5TH(5) Grand Total
cluster_0 668 623 518 435 318 2562
cluster_1 20 21 17 18 10 86
cluster_2 30 28 25 33 17 133
cluster_3 219 208 165 178 91 861
cluster_4 85 70 56 67 32 310
Grand Total 1022 950 781 731 468 3952
cluster_0 cluster_1 cluster_2 cluster_3 cluster_40
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CLUSTER TYPE
TOWN SIZE
RecommendationsO On the basis of analysis, we
recommend to the company to concentrate on Cluster 2 markets(towns) where the average income is high & penetration of different types of insurance products are less.
O Overall, by reduction in claim/coverage ratio & increased customer base will contribute towards higher profitability for the company.
THANK YOU