AXA OYAK, a Turkish insurance company, is preventing fraud with an SAS Social CRM solution. All customer-related data is integrated with a unified and coordinated corporate vision. They were able to clean up the customer data and conduct more thorough analysis. This aided them in identifying and correcting data inconsistencies. Cleaner data also allowed AXA to perform more accurate customer analysis and investigate fraudulent claims more efficiently. Recent trends in insurance fraud detection include: its computer science ques dont reject if you dont know ans

AXA OYAK, a Turkish insurance company, is preventing fraud with an SAS Social CRM solution. All customer-related data is integrated with a unified and coordinated corporate vision. They were able to clean up the customer data and conduct more thorough analysis. This aided them in identifying and correcting data inconsistencies. Cleaner data also allowed AXA to perform more accurate customer analysis and investigate fraudulent claims more efficiently. Recent trends in insurance fraud detection include: its computer science ques dont reject if you dont know ans

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter9: Business Intelligence And Analytics

Section: Chapter Questions

Problem 1CE

See similar textbooks

Similar questions

However, only approximately 10% of firms will have effective data governance practises in place to avoid data discrepancies throughout the organisation, as predicted by Gartner. Despite the fact that self-service BI tools will become widely available to business users in the next years, this is still the case. Despite the importance of maintaining consistent data, why do you think firms continue to invest in analytics tools without also purchasing governance programmes?
Is it strange to you that a business as tiny as Sunny Delight could wind up with so many distinct analytics tools? How has the fact that Sunny Delight has changed ownership many times influenced the quantity and diversity of BI tools used? What are some of the drawbacks of migrating to an enterprise-level analytics system for individual end users who may have become used to dealing with their own bespoke data generation solutions? According to a recent Gartner report, most business users will have access to some type of self-service BI tool within the next few years; however, Gartner estimates that less than 10% of companies will have adequate data governance practices in place to prevent data inconsistencies across the organization. Why do you believe that so many businesses continue to invest in new analytics technologies while failing to establish governance processes that guarantee data consistency?
A Turkish insurance company, AXA OYAK, is using a Social CRM solution provided by SAS to prevent fraud. Here, all the customer-related information is integrated with a single and coordinated corporate vision. Theywere able to clean up the customer data and perform better analysis. Thishelped them find and correct inconsistencies in the data. Cleaner data alsoprovided AXA to perform customer analysis more accurately and investigatefraudulent claims more efficiently. Recent trends in the area of insurancefraud detection are:
Is it surprising to you that a relatively small company like Sunny Delight could end up with so many different analytics tools? How might the fact that Sunny Delight has changed ownership multiple times have impacted the number and variety of BI tools being used? What are some of the trade-offs of a move to an enterprise-level analytics solution for individual end users who might have grown accustomed to working with their own customized solutions for generating data? According to a recent report by Gartner, most business users will have access to some sort of self-service BI tool within the next few years; however, Gartner estimates that less than 10 percent of companies will have sufficient data governance practices in place to prevent data inconsistencies across the organization. Why do you think so many companies continue to invest in new analytics tools without implementing governance programs that ensure data consistency?
How does this tool support management of large amounts of data? How does this tool incorporate data security? What functions or capabilities are lacking? What industries would benefit most from this type of tool? What data analytics tasks would be best suited for this tool? What tools are commonly used in the industry you would like to work in professionally? What tasks are those tools used to perform, and why are they well suited for those tasks?
You were shocked to see that Sunny Delight is a pretty small company given the number of unique analytics tools it has acquired. What potential effects may the many ownership changes at Sunny Delight have had on the kind and amount of business intelligence (BI) solutions used?- What are some of the trade-offs involved with a switch to an enterprise-level analytics solution for individual end users who are used to dealing with their own customized solutions for producing data?
In a recent report, Gartner predicted that within the next few years, the majority of business users would have access to some sort of self-service BI tool. However, Gartner predicts that less than 10% of companies will have adequate data governance practises in place to prevent data inconsistencies across the organization. Why do you believe so many businesses keep making investments in fresh analytics software without putting governance systems in place to guarantee data consistency?
- Is it surprising to you that a relatively small company like Sunny Delight could end up with so many different analytics tools? How might the fact that Sunny Delight has changed ownership multiple times have impacted the number and variety of BI tools being used? - What are some of the trade-offs of a move to an enterprise-level analytics solution for individual end users who might have grown accustomed to working with their own customized solutions for generating data?
I am conducting a reasearch project about the following reaserch question: "Can the use of big data and predictive analytics help real estate investors and developers identify promising investment opportunities and mitigate risks better than standard data?" I will focus my research on the specific applications predictive analytics such as property valuation and risk management. The potential variables I am considering on using to measure this are things like, Property condition: The condition of a property can affect its value and level of risk. Variables such as age of the property, maintenance and repair history, and structural integrity can be used to assess the condition of a property. Market trends: Market trends such as supply and demand, vacancy rates, and rent trends can be used to assess the value and level of risk of a property. Financing terms: The financing terms of a property, including interest rates and loan terms, can affect its value and level of risk. Economic…
- According to a recent report by Gartner, most business users will have access to some sort of self-service BI tool within the next few years; however, Gartner estimates that less than 10 percent of companies will have sufficient data governance practices in place to prevent data inconsistencies across the organization. Why do you think so many companies continue to invest in new analytics tools without implementing governance programs that ensure data consistency? - How important do you think it is for FIMC and other companies offering roadside assistance services to provide customers with access to services via a mobile app? Do you think a mobile app will provide FIMC with a competitive advantage, or is mobile access something that most customers have come to expect?
GTUC was established many years ago with one campus to provide technology education in order to supply skilled labaur for the growing Tech industry in Ghana and the sub region. The university has grown over the years and now has four campuses across the country. Student enrallment has also increased from a modest 200 to 5000 currently. GTUC is currently facing a huge data management challenge and needs a system that will effectively store the data and guarantee its integrity and availability GTUC keep informátion of students, including their Identification Numbers, Full names, Addresses, Fee Balance, Phone Numbers, Marks, etc., that enables the university track their financial standing, the courses they have completed and the grades obtained for each course. At the end of each semester, we will calculate the Grade Point Average of each student. Question One a. Create a class for the student in case one, using Identification Number and Full Name as the members of the Class. b. All…
Why are healthcare providers like Mercy gathering such a vast volume (as well as such a diversity and speed) of data? In what ways might Mercy benefit from an enterprise data model? To what degree is a well-defined model articulating the organization's data needs and objectives even more necessary today, given Mercy's explorations into big data?