Module 4: Assignment
Case Study Assignment 4.1: Visa is Enhancing the Customer Experience While Reducing Fraud With Predictive Analytics
IDEX BiometricsLinks to an external site. has gathered some interesting facts on credit card fraud in 2020:
46% of the world’s credit card fraud happens in the United States, out of which25.7% charges were made to an existing credit card
21.4% were made using an existing checking or savings account
15.9% of transactions were made using an existing debit account
0.5% of transactions were made on an existing loan or line of credit
18.5% of transactions were made using financial accounts such as PayPal
65% of the time, credit card fraud results in a direct or indirect financial loss for the user
According to the Nilson ReportLinks to an external site., global card losses are expected to exceed $35 billion by 2020
This case study assignment examines the use of predictive analytics to address an ongoing dilemma of extending customer credit card services while attempting to mitigate costly fraudulent activities. Often the expansion of additional credit card services also potentially increases fraudulent claims. This case will reinforce the value of data mining techniques and their role in predictive analytics.
To complete this assignment, see page 194 in Business Intelligence, Analytics, and Data Science: A Managerial Perspective. In about one paragraph each, address the three questions associated with this case.
To successfully complete this assignment, view the Case Study Assignment Rubric document.Download Case Study Assignment Rubric document.
View Rubric
Case Study Assignments Rubric
Case Study Assignments Rubric
CriteriaRatingsPts
Completeness10.35 pts
Exemplary (100%)
Thoroughly answers all the case assignment questions.7.76 pts
Needs Improvement (75%)
Answers all the case assignment questions, but may lack in detail or clarity.0 pts
Not Evident (0%)
Does not answer all the assigned questions./ 10.35 pts
Creativity and Innovation
10.35 pts
Exemplary (100%)
Demonstrates sophisticated knowledge of BI systems through the application of creative or innovative thinking in response7.76 pts
Needs Improvement (75%)
Responses are somewhat creative or innovative.0 pts
Not Evident (0%)
Responses are not creative or innovative./ 10.35 pts
Viability
10.35 pts
Exemplary (100%)
Responses are viable.7.76 pts
Needs Improvement (75%)
Responses are somewhat viable.0 pts
Not Evident (0%)
Responses are not viable./ 10.35 pts
KPIs
10.35 pts
Exemplary (100%)
Clearly identifies contributors of key performance management indicators that can help reach effective business decisions.7.76 pts
Needs Improvement (75%)
Contributors of key performance management indicators that can help reach effective business decisions are unclear or inaccurate.0 pts
Not Evident (0%)
Does not identify contributors of key performance management indicators that can help reach effective business decisions./ 10.35 pts
Mechanics
3.6 pts
Exemplary (100%)
No grammar or spelling errors that distract the reader from the content. All sources used are cited using APA Style, sixth ed.2.7 pts
Needs Improvement (75%)
Minor errors in grammar or spelling that distract the reader from the content. All sources used are cited using APA Style, sixth ed.0 pts
Not Evident (0%)
Major errors in grammar or spelling that distract the reader from the content and/or errors made in citing sources using APA Style, sixth ed./ 3.6 pts
Total Points: 0