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Insurance Data Mining
This data mining Allstate had to use it to improve a transactional decision - the underwriting process. This means that a system, in this case the one being used by an agent, had to have the insight gained from the data mining embedded in it. Now clearly if the person in the article had gone online or called a call center you would have wanted him to get the same offer.All of this is the basic premise behindLic Policy India - automate decisions and use data analysis to improve them.It should be noted, in case you are worried, that credit is a strong individual predictor but when combined with other predictive variables provides great underwriting and pricing segmentation. Knowing how to identify these variables and account for their relationship with other variables is how you really get a return from using credit data - you can find good overall risks with poor credit and poor overall risks with good credit. Fair Isaac experts on this topic tell me that on average credit accounts for about 15% of the value of a risk model with other factors accounting for the other 85%.

It is also true that anyone wanting to use credit as described in the article must also make sure that their use of credit interacts with the vast set of rules that exist in the underwriting process. There are eligibility rules, knock-out and referral rules. Managing the interaction of models with rules is key to an improved business result - this is a key premise in Lic Policy India.

DATA MINING IN INSURANCE INDUSTRY :-
 
  • The first step for an analyst is to select databases that can be used for knowledge discovery.
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  • After selecting an appropriate database for data mining it is necessary to set up the data mining software. The most suitable data mining method for fraud detection in insurance is Classification. Data mining software identifies groups of customers with distinct behaviour patterns.
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  • The next step is “training” the data mining software. During this step the program will find decision rules, patterns, behaviours, trends and deviations from the norm.
  • The concept of data mining is picking up aggressively across different businesses from various industry verticals. Many companies rely on data mining services to get there required data and information which can be used by them to increase their profit margins, interact more with clients and customers, identify frauds and manage risks.Lic Policy India is a leading data mining company in India that offers data mining services to help customers leverage their business capabilities. We know that capturing the right data at the right moment is imperative in the competitive world of today. This why we use the latest data mining tools to ensure accurate and right data is captured as per your business requirements.
    We offer data mining services for several industries ranging from banks, insurance, finance, airline, telecom to retail, e-commerce, real estate, bpo and other technology based industries. Kin of projects that we have handled in the past:
     
  • Projects related to capturing and gathering data from websites and then entering data into spreadsheets
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  • Going through media websites and finding latest prices on various commodities
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  • Surfing through various commercial websites and collecting vital information
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  • Extracting information about the latest products being launched in the market and their pricing plans
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  • Performing market research about various new innovative products
  • Data Mining is a complex subject that describes a type of database application used to search large amounts of data for patterns using specific tools. Advanced statistical methods and tools such as classification, association rule mining and cluster analysis search large volumes of data for previously unknown relationships within the data. Data Mining can be used to decipher trends in a wide variety of fields such as computer science, the marketing and advertising of goods, services or products, artificial intelligence research, biological sciences and high-level government intelligence.The United States Federal Bureau of Investigation uses Data Mining for security and intelligence screening in order to identify potentially illegal or incriminating electronic information that is distributed on the Internet. The formulas used in Data Mining are known as algorithms. Regression analysis and classification analysis are important concepts covered in the Data Mining articles under Data Mining Tutorials section in this section.
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