Case Study Part I: Scenario
United Savings Bank (USB) is a large bank with branches spanning the United States. They are already collecting information on their customers in the following systems.
Core Banking System
Online Banking
Lending System (Auto/Personal Loans)
Credit Card System
Mortgage Lending System
Insurance Policy System
Financial Investment System
They are interested in understanding how they can leverage this data, in addition to data gathered from other potential sources, to provide a competitive advantage in their market.
You have been asked to present to the board a discussion on how big data can provide USB with a strategic advantage.
The following is the necessary information to complete this lab assignment.
Expand All Panels Collapse All Panels
Deliverables
The deliverable for this lab is a Microsoft Word document, including Parts 1 and 2 from the case study, which can be accessed via the 1.1.1: Business Analytics Readings and Resources link.
Required Software
This lab will use the following Lab Resources.
Virtual Lab Citrix (MS Word 2016 or 2019). If you have MS Word on your personal computer, it will work for this lab.
Use a personal copy of the software or access the Lab Resources located in the Course Resources page.
The following is the necessary information to complete this lab assignment.
Step 1: Lab Preparation
Resources for this lab are located in the 1.1.1: Business Analytics Readings and Resources link. There are three videos and one Word document that mirrors the steps for this lab.
Step 2: Complete Environmental Analysis
Part 1: Environmental Analysis
The banking industry is impacted by changes in its external environment from political, economic, social, technological, environmental, and legal factors. These may not be controlled directly by the companies in the industry, but the companies nevertheless might be forced to alter their models, pricing, revenue, and cost structures, and so forth in response to changing conditions. Knowledge of external environmental trends can help predict opportunities and risks for banking products.
Identify some of the questions you might have about the overall industry trends (political, economic, social, technological, environmental, legal, or others). You might include questions such as, “What affects demand for new car loans?” or, “Who is likely to seek a mortgage in the next 5 years?” or “How can we protect ourselves from fraud?” for instance. Identify at least one question for each of the environmental factors (political, economic, social, technological, environmental, and legal).
Step 3: Discussion Existing Data and Data Gaps
Part 2: Existing Data and Data Gaps
Envision a hypothetical customer who uses the different products identified above (banking, auto loans, credit cards, mortgage, insurance, and investment products).
Identify what information each of the data collection systems shown above might contain on the customer.
Identify any additional information you might want on individual customers that could help you answer the questions you identified in Part 1.
Step 4: Summarize Your Findings
Create a one page write-up explaining what information you likely have, what data you might need, and how this data might be used to generate a competitive advantage.
Step 5: Complete and Submit Work
Save and click the Submit Assignment button located at the top of your page to submit your MS Word file.
Rubric
BIAM110 Week 1 Lab Rubric
BIAM110 Week 1 Lab Rubric
Criteria Ratings Pts
This criterion is linked to a Learning Outcome Step 2 – Environmental Analysis
Identify some of the questions you might have about the overall industry trends (political, economic, social, technological, environmental, and legal, or others). You might include questions such as, “What affects demand for new car loans?” or, “Who is likely to seek a mortgage in the next five years?” or “How can we protect ourselves from fraud?” for instance. Identify at least one question for each of the environmental factors (political, economic, social, technological, environmental, and legal).
40 pts
Excellent Work
Industry trends (political, economic, social, technological, environmental, and legal, or others) are included. Questions such as, “What affects demand for new car loans?” or, “Who is likely to seek a mortgage in the next five years?” or “How can we protect ourselves from fraud?” for instance, were used. Identify at least One question for each of the environmental factors (political, economic, social, technological, environmental, and legal) was included.
25 pts
Good Work
Industry trends (political, economic, social, technological, environmental, and legal, or others) are included however not all factors are included. Questions such as, “What affects demand for new car loans?” or, “Who is likely to seek a mortgage in the next five years?” or “How can we protect ourselves from fraud?” for instance, were used. Identify at least One question for each of the environmental factors (political, economic, social, technological, environmental, and legal) was included, however, some questions were omitted.
15 pts
Partial Credit
One or more elements of the required descriiption are missing.
0 pts
No Submission
Missing submission for this Lab.
40 pts
This criterion is linked to a Learning Outcome Step 3 – Data and Data Gaps
Envision a hypothetical customer who uses the different products identified above (banking, auto loans, credit cards, mortgage, insurance, and investment products).
Identify what information each of the data collection systems shown above might contain on the customer.
Identify any additional information you might want on individual customers that could help you answer the questions you identified in Part 1.
40 pts
Excellent Work
Information for each of the data collection systems shown above might contain on the customer was included. Additional information on individual customers that could help you answer the questions you identified in Part 1 was included.
25 pts
Good Work
Only one item was discussed or information was missing on: Information for each of the data collection systems shown above might contain on the customer. Additional information on individual customers that could help you answer the questions you identified in Part 1.
15 pts
Partial Credit
Several of the required elements are missing.
0 pts
No Submission
There was no submission.
40 pts
This criterion is linked to a Learning Outcome Step 4 – Summarize your Findings
Create a one page write-up explaining what information you likely have, what data you might need, and how this data might be used to generate a competitive advantage.
15 pts
Excellent Work
A one page write-up explaining what information you likely have, what data you might need, and how this data might be used to generate a competitive advantage was created. All information is Correct.
9 pts
Good Work
One or more elements from the discussion are missing.
5 pts
Partial Credit
Multiple required elements are missing.
0 pts
No Submission
There was no submission.
15 pts
Total Points: 95
Posted inUncategorized