Case

Case Solution for Global Warming Revisited (B)

Complete Case details are given below :

Case Name :      Global Warming Revisited (B)
Authors :           Anton Ovchinnikov
Source :             Darden School of Business
Case ID :           UV6693
Discipline :        General Management
Case Length :    05 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
Is there statistical evidence of global warming? The B case presents the results of three different analyses that are representative of MBA students’ work. The case series is effective in discussing the analysis of time-series data in the context of business analytics, predictive analytics, big data, or other similar courses. Given that the case is based on global warming-a phenomenon all students are undoubtedly aware of-it is eye-opening with respect to how incorrect data analysis can indeed “support” different points of view.
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team
Advertisements

Case Solution for Predicting Customer Churn at QWE Inc.

Complete Case details are given below :

Case Name :      Predicting Customer Churn at QWE Inc.
Authors :           Anton Ovchinnikov
Source :             Darden School of Business
Case ID :           UV6694
Discipline :        General Management
Case Length :    04 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
This field-based case is an efficient vehicle for exposing students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition about what drives churn. The associate must generate a list of the customers most likely to churn and the top three reasons for that likelihood. Although the name of the company and individuals are disguised, the data are real and adjusted by an unspecified constant so that all relationships are preserved.
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team

Case Solution for Global Warming Revisited (A)

Complete Case details are given below :

Case Name :      Global Warming Revisited (A)
Authors :           Anton Ovchinnikov
Source :             Darden School of Business
Case ID :           UV6690
Discipline :        General Management
Case Length :    02 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
“Is there statistical evidence of global warming? This case presents two sets of real global temperature data, one from the Met Office and another one from NASA, and asks students to assess if the data indeed support the belief that temperatures have been rising over the last 150+ years. The case is open-ended-it provides the data and references to some popular press articles on the subject. Also available is a B case that presents three sets of analysis typical for MBA students-an efficient starting point for class discussion. “
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team

Case Solution for Surveying Professional Forecasters

Complete Case details are given below :

Case Name :      Surveying Professional Forecasters
Authors :           Yael Grushka-Cockayne, Kenneth C. Lichtendahl
Source :             Darden School of Business
Case ID :           UV6697
Discipline :        General Management
Case Length :    06 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
“This case serves to illustrate how averaging point forecasts harnesses the wisdom of crowds. Students access data from the Survey of Professional Forecasters (SPF) and compare the performance of the crowd (i.e., the average point forecasts) to the average performance of the individual panelists and the best performer from the previous period. The case is intended for use in a class on forecasting, and the instructor can present it in three ways: with all necessary SPF data cleaned and preprocessed in a student spreadsheet (UVA-QA-0805X, provided with the case); with code (also provided in the student spreadsheet) written by the case authors in R, the statistical computing package, as well as a supplementary handout (UVA-QA-0805H, also provided with the case), which walks students through R code, explaining how to clean and analyze the SPF data; or as a team project to be worked on over several days, providing neither the spreadsheet nor the supplement. The latter would be an excellent exercise in data retrieval, cleaning, reshaping, and analysis.”
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team

Case Solution for Southpointe Corporation-Key Experiences

Complete Case details are given below :

Case Name :      Southpointe Corporation-Key Experiences
Authors :           Mark E. Haskins
Source :             Darden School of Business
Case ID :           UV6711
Discipline :        General Management
Case Length :    03 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
“During the five years Southpointe Corporation had used its custom Leadership Development Program (LDP), a significant number of existing and high-potential managers from all the company’s functional areas and geographic regions had been through the LDP. Now in response to some ongoing leadership development concerns, Southpointe’s CEO, wants to develop a “key experiences” program for a handful of managers viewed as viable executive team candidates. “
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team

Case Solution for Martha Hires-The Good and The Bad of Working with Clients

Complete Case details are given below :

Case Name :      Martha Hires-The Good and The Bad of Working with Clients
Authors :           Mark E. Haskins
Source :             Darden School of Business
Case ID :           UV6905
Discipline :        General Management
Case Length :    03 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
Retiring after 16 years at Evergreen Executive Education, LLC, Martha Hires is reminiscing with a colleague about some of the great and not-so-great client experiences they had shared over the years. Her colleague suggests she make a list of the best and worst client practices to help the firm identify early client-based signals portending a good or bad client engagement to increase the odds for a positive client engagement while also decreasing the odds of a bad one.
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team

Case Solution for The Judgment of Princeton

Complete Case details are given below :

Case Name :      The Judgment of Princeton
Authors :           Phillip E. Pfeifer
Source :             Darden School of Business
Case ID :           UV6770
Discipline :        General Management
Case Length :    04 pages
Plagiarism : NO (100% Original work)
Description for case is given below :
The case descirbes a wine-tasting competition held in Princeton, New Jersey, in 2012. The competition pitted the best wines from New Jersey (NJ) against the best wines from France in blind taste tests. The case stops after the scores of nine judges tasting 20 wines have been recorded. Students are asked to take these 180 scores and determine the best red and best white and to also compare the performance of the 12 NJ wines to the 8 French wines.
 
Click Here to place your order
 
OR
Place your order at casesolutionshub (AT)gmail(dot)com if you want to solve above case.
 
Cordially,
Case Solutions Hub Team