CH 1 Big Data Analysis Flashcards
Greatview Insurance wants to predict which auto liability claims will most likely go to litigation, so it can assign them to experienced adjusters early in the process. There are certain known indicators of litigation that Greatview wants to use in the data mining process. Which one of the following data mining techniques would Greatview’s analyst most likely use?
Classification.
Because Greatview wants to use known characteristics, the analyst would most likely use classification to predict which auto liability claims will go to litigation.
Which one of the following is a way that insurers and risk managers can use data science to improve their results through data-driven decision making?
Discovering new relationships in data.
Discovering new relationships in data is a way insurers and risk managers can use data science to improve their results through data-driven decision making.
Gabrielle is a claims representative from Onward Insurance. She is using external data to verify some information as part of a claims investigation. In doing so, Gabrielle will likely rely on all of the following sources of information, EXCEPT:
The claimant’s recorded statement given to Gabrielle.
“The claimant’s recorded statement given to Gabrielle” is considered internal data, not external data. All other answers represent external data.
Data scientists at Grisham Risk and Insurance are working with underwriting, claims, and other department professionals to design data mining projects to help generate better business solutions and decisions. Which one of the following is true regarding this collaboration at Grisham?
The data scientists will explore underutilized sources of data, such as social media and social networks.
Technology that can particularly assist adjusters in evaluating claims after catastrophes is
Drones.
Technology that can particularly assist adjusters in evaluating claims after catastrophes is drones.
Data science is especially useful for
Unstructured data.
Galliano Insurance Agency knows that it is most likely to retain the customers that it insures for multiple lines of coverage. The agency is always trying to identify new insurance products. To help identify new products, it needs a data mining technique that will explore data to find groups with common and previously unknown characteristics. Which one of the following data mining techniques should Galliano Insurance Agency use?
Cluster analysis.
Galliano Insurance Agency should use cluster analysis to identify possibilities for new insurance products.
Tania works in the fraud unit for Greatview Insurance. There is a claimant who appears to be involved in multiple cases of insurance fraud. Tania decides to use social media to obtain information that may be used to develop a profile of the claimant. Tania’s use of social media is an example of which one of the following types of data?
Unstructured external.
Tania’s use of social media to provide information for fraud investigation is an example of using unstructured external data.
The purpose of data analytics for insurers is to
Make data-driven decisions and strategy.
The purpose of data analytics for insurers is to make data-driven decisions and strategy.
The first step in the data mining process is to
Understand what a business wants to achieve.
The first step in the data mining process is to understand what a business wants to achieve.
The important first step in a decision-making model is to
Define the problem.
The important first step in a decision-making model is to define the problem.
Which one of the following correctly describes a new evolution of big data, sometimes referred to as big data 2.0 in insurance and risk management?
Organizations can strategically use data from the Internet of Things and vehicle telematics.
Organizations can strategically use data from the Internet of Things and vehicle telematics.
Which one of the following correctly describes classification?
Classification assigns members of a dataset into categories based on known characteristics.
Classification assigns members of a dataset into categories based on known characteristics.
Which one of the following is correct regarding an insurer’s big data?
An insurer’s big data consists of both its own internal data and external data.
Which one of the following is a fundamental concept of data science?
The selection of data mining approaches must be considered in the context in which the results will be applied.
A project team at Goshen Mutual has been working on developing a new product for the personal insurance market. The team is using geodemographic data to determine which territories would be the best to introduce the product. Geodemographic data would be categorized as
Structured external data.
Geodemographic data would be categorized as structured external data.
The descriptive approach is applied
When an insurer or risk manager has a specific problem
All of the following are fundamental concepts of data science, EXCEPT:
The data mining project need not provide actions that lead to better business results in order to be considered worthwhile.
All are fundamental concepts of data science except “the data mining project need not provide actions that lead to better business results in order to be considered worthwhile.” The selection of data mining approaches and evaluation of the results must be thoughtfully considered according to how the results will be applied.
Which one of the following is correct regarding data science teams in insurance and risk management organizations?
Risk management and insurance professionals can be valuable members of data science teams.
Which one of the following is a data mining technique an insurer applies when it knows what information it wants to predict?
Classification
Classification is a data mining technique an insurer applies when it knows what information it wants to predict.
Data scientists must be able to
Analyze traditional data as well as new types.
The insurance professionals who have traditionally analyzed data and made predictions based on their analyses are
Actuaries.
Big data includes
Both structured and unstructured data.
Big data includes both structured and unstructured data.
Which one of the following can be applied over time to refine a model to better predict results?
Machine learning