Category: Analytics

Project Planning/Timeline
Submit a word document identifying key milestones for the project such as data collection, data review, data analysis etc., and create time lines to complete them. Make sure you meet the expectation for the duration of the project to be completed by Week 15.
Paper should include the following sections:
Section I: Introduction/Background/Problem Statement
Section II: Body
Literature Review
Data
Methods
Analysis (three stages)
Results
Section III: Conclusion/Discussion
Appendices

Discuss your theoretical framework you plan to use for your paper.  What is a theoretical framework and how does it apply to your project? Review the theoretical frameworks put forward by your classmates and offer suggestions to assist them with their projects.  Discuss feedback given to you.

You must be proficient in using software SIMUL8. Use the software to solve a Data analysis/business analysis case. 
The main body of the
report (the executive summary) should not exceed 6 typed pages of A4
paper (11
point font, single spacing).
You should also include a technical appendix with a maximum length of 8
pages.    Furthermore details are included in the 
Simulation Project 2024.docx . 

ImDownWithThis is a (fictitious) AI-driven app that helps people manage their weight. It operates on a monthly subscription basis (the company calls subscribers members) where the subscription includes an (AI generated) expert assessment, guidance, tips and education, a digitally connected scale and unlimited virtual coaching. Through various behavioral modification techniques, the company encourages members to weigh in daily and check in with their virtual coach at least daily. By connecting to member’s scale, the company reads the weight of all members who weigh in. It then uses this information and the contents of previous coaching sessions to guide a virtual assistant in chat sessions with members. The company recently incorporated ChatGTP technology into its virtual assistant.
When members join, they fill out a detailed assessment that supplies personal and demographic information about themselves including age, gender, marital status, height and weight, etc. The company computes four proprietary scores for each member: 
1. Diet: a measure of the member’s eating habits.
2. Engagement: a measure of how engaged the member is in ImDownWithThis’s programs and coaching.
3. Success: a measure of several member attributes including weight loss and maintenance and the member’s desired goals.
4. Bliss: a measure of the member’s overall happiness with themself, and their life based on proprietary algorithms the company applies to the virtual chat sessions. 
These scores are continuously evaluated and updated, although the supplied data for this exercise is at single points in time (there is no longitudinal data analysis in this case study).
Deliverables: Perform regression analysis to:
@Identify correlations in marital status and scores (bliss, diet, success, and engagement edit 100+to 99)
@ Identify correlations in marital status and children and scores(bliss, diet, success, and engagement edit 100+to 99)
@ Identify trends in the scores and length of membership
NOTE: Scores comprise  of (bliss score, diet score, success score, and engagement edit 100+to 99 score)
Pls explain the findings

Week8 HW: Chp7 Hypothesis Testing Part2(6 questions in total)
Portal Link:  https://www.cwu.edu/about/offices/information-services/enterprise-application-services/mycwu.html
User ID:  Password:  Tb-952795279527
Navigation Steps:   need to go through authenticator

You are a business analyst at a private-equity investment organization. You are exploring potential new investment opportunities for your organization. One of the sectors your organization is looking to invest in is sustainable green-energy businesses. The chief investment officer (CIO) has handed you a historical data set on sustainable organizations. The CIO informs you that five new organizations in the sector are looking for investors. You must analyze the historical data to assess whether investing in one of these organizations would be a good decision.
A linear regression model provides ratio values as output. Using the Historical Green Energy Data Set, you will build and apply a linear regression model to predict the profit value for the five new organizations. If an organization’s predicted profit value is a negative ratio value, you may not recommend the organization as an investment opportunity. Similarly, if an organization’s predicted profit is a positive ratio value, you may recommend it as an investment opportunity.
Write a report with your analysis and recommendations about the investment potential of the five new organizations. Specifically, you must address the following rubric criteria:
Data Requirements: Using the given historical data set, identify the information you will need to create the predictive model.
Determine the dependent and independent variables.
Explain the relationship between the dependent and independent variables.
Linear Regression Model: Use the given historical data to build a linear regression equation.
Create a linear regression equation for multiple independent variables.
Strength of the Model: Use the results of the linear regression to assess the strength of the model.
Discuss the summary output, including multiple R, R square, adjusted R square, and sample error.
What do these results tell you about the variables and the data?
How will these results help you predict the investment potential of an organization?
Strength of the Independent Variables: Evaluate the strength of the independent variables to find out which variables have the most impact.
Discuss the degrees of freedom (df), sum of squares (ss), and mean square (MS).
What do these tell you about the historical data and the role of the different independent variables?
Discuss how the model’s coefficients can be used to select the optimal independent variables for the model.
Actual versus Predicted Model: Compare the predicted variable values with the actual variable values.
Explain whether this model is potentially useful for predicting an organization’s profitability.
Show the residual output from the model, and discuss how far the predicted variables are from the actual results.
Recommendation: Provide a recommendation based on the results of the predictive model.
Apply the model to the data from the five new organizations to determine if any of the organizations are profitable for investors.
Provide a recommendation for each of the five organizations.

To make this assignment a bit easier, all I am looking for in the paper is information about how managers are using analytics and it what areas and programs they are using them.  Obviously, you will have to expound on that to get to 750 words, but that should make it easier. 
§  https://www.datasciencecentral.com/
§  http://analytics-magazine.org/digital-editions/
§  http://dssresources.com/
§  APA format is required for this paper

The assignment requires that you analyse a data set, interpret, and draw conclusions from your analysis,
and then convey your conclusions in a written report.
The excel file is attached and the instructions file is also attached go through the instruction file carefully and their is a template and rubrik attached as well. Please reach out if there is any problem with any techniques that need to be used in the analysis

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This assignment will be submitted to Turnitin™.
Instructions
Part 1: Compare and contrast the similarities and differences between a four Ps approach to marketing and the value approach (creating, communicating, and delivering value).
Part 2: Select two advertisements. Describe the needs identified by Abraham Maslow that each ad addresses. What consumer segment is being targeted?
Part 3: Find an international version of one of the prior selected advertisements. What differences do you detect in the international version of the ad? How did the underlying aspects of marketing and psychology utilized in the advertisement change? 
Note: Please review my expectations for the assignment. I expect your response to include 2 or more references from the APUS Library system (failure to include such references will detract from your grade on the assignment), and be presented in APA Format. Deliverable length is a minimum of 2 body pages.
Due on Feb 18, 2024 11:55 PM
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Rubric Name: MKTG Writing Assignment Rubric
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Basic
Instructions:
1. You
need to use Microsoft Excel (either the Windows or Macintosh version) for this
assignment. Some functions may work differently on the Macintosh version
(especially in Excel 2008 and Excel 2011). If you do not have Microsoft Excel,
you can find it in any of the computer labs (link
to computer lab locations) or
you can download the free student version by following these instructions: link to Microsoft download
instructions.
2. Read the Case Described in Detail
Below.
3. Work
sequentially through the tabs included below starting
with the Cover Sheet before moving on to the S1 Intro Questions, S2 Data
Analysis, and S3 Wrap-up.  Show all of
your work, which should be completed in the designated worksheet areas.
Quaker Oatmeal Marketing
Campaign Case Description:
This
case asks students to evaluate the impact of a marketing campaign implemented by
Quaker Oats whereby the company paid supermarkets to display a Quaker Instant
Oatmeal promotion at the end of the breakfast cereal aisle during the week
of November 2nd to November 11th.  This
week corresponds to Week 3 in the associated data.  If it costs Quaker $3,000 to run this
promotion at each supermarket, is the marketing campaign profitable for the
company?  To help answer this question (and help Quaker decide if they should run
the promotion across all US supermarkets), Quaker decided to first run this
promotion at 50 randonly chosen supermarkets across the country.  Then, they purchased supermarket scanner data
from Nielsen, a market research firm, from the 50 promo stores and data
at 50
stores where they did not run the promotion. 
The data provided sales
information for the
two weeks before the promotion, the week of the promotion, and three weeks
after the promotion.  Data on total
weekly sales of instant oatmeal for each supermarket are included in the Data worksheet.  Use them to analyze whether the
campaign worked and whether it was profitable.