Identify the major problems found in the case.

**Each mini case solution must follow the following formatting guidelines:
**Three sections consisting of 1) Problem Identification 2) Quantitative Reasoning and Analysis 3) Recommendations
Problem Identification**
Identify the major problems found in the case. Ensure that you distinguish between causes and symptoms. Causes may include changing customer preferences, increased competition, etc. Symptoms include declining revenues, loss of brand equity, increased customer churn, etc.
Please support your problem identification by relevant case facts along with the associated theory and concepts.
Quantitative Reasoning and Analysis
Conduct research to identify data (e.g., obtain data in the form of trends, statistics, ratings, etc. from the library and other sources) that can be utilized to provide additional insight into the case.
Draw appropriate conclusions based on the quantitative analysis of data, while recognizing the limits of this analysis.
Discussion and Recommendation
Identify and recommend a solution to the major problem in the case (there is likely to be more than one solution).
Briefly outline your solution and evaluate it in terms of its pros and cons.
Always ensure that your recommendations are supported by statistical evidence and provide spreadsheets as necessary.
Appendix and References
Please include any tables or figures that are not included but are referenced in your report.
Make sure all references are cited correctly.
Please ensure that your assignments are typed, proofread, and concise. Points will be deducted if
the length of the submission is excessive.
it does not conform to the formatting requirements
there are typos or grammatical errors
**Please use the following questions to develop your solution to the case. Follow the recommended
format to submit a case solution.
NO POINTS WILL BE AWARDED IF YOU ONLY SUBMIT ANSWERS TO THESE QUESTIONS
1. Assume that you are a technology entrepreneur. You are developing a new software product
that uses AI based algorithms to generate credit scores to help banks improve mortgage lending
decisions. You hope to use this new software product to raise venture capital.
2. Identify the demographic, socioeconomic and behavioral variables that you would use to
develop your algorithm.
3. How would you test if your credit scoring system was inherently biased against Black and
Hispanic borrowers?
4. Provide recommendations for segmenting your buyers and ensuring an ethical targeting and
positioning strategy.

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