Category: Analytics

The company decided to test four different email incentives (labelled A, B, C and D in the data set) to customers to fill out the survey. Regardless of the incentive, all offered 10% off the customer’s next purchase for filling out the survey and all received the same survey. The data attribute “Promotions” indicates the promotion email the customer received (A, B, C, or D). 
Requirements:
@ Analyze the comparative effectiveness of the four incentives. 
Things to consider: -Response rate 
-While Zoomaco offered the 10% off incentive to promote survey responses, does the data support a 10% off incentive to boost sales? 
– What does the data indicate about the buying behavior of customers who responded to the survey? If yes, which survey is most effective at increasing sales? Consider:
Total sales, Average sales per customer, Number of transactions 
Deliverables:
#Prepare a report and short presentation on the comparative effectiveness of the four incentives and their use in sales promotions.
Please upload a maximum 1-page Word (or PDF) file report summarizing your findings on the incentives’ effectiveness and your recommendation for which incentive is most effective if Zoomaco wants to use a similar format to grow sales. 
# Please also upload Powerpoint slides with tables and charts to support a maximum 10-minute presentation.     

I am looking to have a ppt presentation made for my masters level capstone, it is supposed to be highly data oriented with charts and tables and statistics. I have used aytm platform survey to collect data and the slides can be either 300 or 50 doesn’t matter but they need to be creative tell the story around my objectives make the ppt slides creative and be very data heavy focussed. Looking for someone who can make this, creative, who has experience with market research and analytics and who know how to present items like factor analysis, cluster analysis, multiple regression, etc

Case Study #5 is intended to test your knowledge of how to run and interpret the results of an ARIMA (Box-Jenkins) model.
HeathCo is a manufacturing company that produces a line of skiwear that is sold under various brand names.  The Product Manager of HeathCo has contracted with you to develop a model to forecast company sales.  You will be supplied with quarterly sales data from 2007 through 2016.  They want a model that will allow them to forecast sales one year (four quarters) out.
Develop and interpret models using the methods below.  Use the data from the years 2007 to 2015 to develop models.  Evaluate the fit of your models to the data series used to create the model.  Reserve 2016 data as a holdout to evaluate the accuracy of your models.
ARIMA (Box-Jenkins)
Submit both the Instructions/Answer sheet and your detailed forecasting model runs. You will submit a single Excel workbook with all relevant sheets.  The first sheet in your workbook will be an answer sheet with clearly labeled answers to all questions and a guide to sheets where supporting Excel information can be found.
Submit the following two documents:
Completed Instructions/Answer sheet
Excel workbook showing forecasting models and formulas used for calculations
Resources:
Below is the data file and the Instructions/Answer sheet for the case study.
HeathCo_Sales.xlsxDownload HeathCo_Sales.xlsx
Week 6 Case Study Instructions and Answer Sheet – BBA 360.docx Download Week 6 Case Study Instructions and Answer Sheet – BBA 360.docx 
Rubric

Final: Integrating and Managing Data for Strategic Success
Background
XYZ Inc. is a medium-sized e-commerce company that has been operating for the past five years. The company has grown rapidly, but so has its data, which is now sprawled across various departments and systems. There are inconsistencies, data quality issues, and a lack of a centralized data governance strategy, leading to challenges in decision-making and business analytics.
Objective
Your task is to assist XYZ Inc. in establishing a comprehensive data management and governance framework to ensure data quality, consistency, and accessibility. This will involve various steps, from assessing the current state of data, initiating a data governance program, and implementing tools and artifacts to support data management.
Data Provided
You will be provided with three datasets:
1.    Customer Data: Information on customers, including their purchasing behavior and feedback.
2.    Product Data: Details of products, including pricing, categories, and stock levels.
3.    Sales Data: Records of sales transactions, including customer details, product purchased, and transaction dates.
Tasks
Task 1: Assessing Data Quality and Governance Maturity
Objective: Evaluate the current state of data quality and the company’s data governance maturity.
Deliverable: A report highlighting the findings of the data quality assessment and a scorecard for the company’s data governance maturity.
Task 2: Initiating Data Governance
Objective: Define the scope of the data governance program and identify the key stakeholders.
Deliverable: A document outlining the scope, objectives, and key stakeholders of the data governance program.
Task 3: Implementing Data Management Tools and Artifacts
Objective: Recommend and implement data management tools and develop key data governance artifacts.
Deliverable: A report outlining the recommended tools, and examples of data governance artifacts such as a data dictionary and data quality metrics.
Task 4: Building a Business Case
Objective: Develop a business case for the data governance program, showcasing the business value and expected ROI.
Deliverable: A comprehensive business case document.
Task 5: Evaluating Business Analytics Capabilities
Objective: Assess how the implemented data governance framework enhances the company’s business analytics capabilities.
Deliverable: A report evaluating the impact of the data governance program on the company’s ability to perform hypothesis testing, regression analysis, and risk assessment.
By completing this case study, you will have applied the principles and practices learned throughout the course, demonstrating your ability to address real-world data management challenges. This hands-on experience will solidify your skills in data governance, ensuring you are well-equipped to drive data-driven decision-making and contribute to the strategic success of any organization.

Instructions are attached with a sample assignment. The following 3 files are needed: 
Assignment Guidelines (Attached) 
Assignment Marking Criteria and Rubric (Attached) 
Sample assignment (Attached) 
Dataset that will be used: https://www.kaggle.com/datasets/uniabhi/ibm-hr-analytics-employee-attrition-performance/data 
This assignment requires using R Studio and submitting an R script.  

Write a summary report of the findings that includes the tables and charts from
steps 1-5 and includes the following: 
a. An introductory paragraph summarizes the purpose of the analysis. 
b. A section (1 or more paragraphs) describing what the tabular data from step 1
indicate about the central tendency, variability and distribution of each variable. For
example, do the variables appear to be distributed in a symmetric or skewed
pattern? 
c. A section (1 or more paragraphs) describing how the frequency histograms from
step 2 and the boxplots from step 3 support and clarify the findings of the tabular
data. Include in this section any evidence suggesting outliers in the data. 
d. A section (1 or more paragraphs) describing what the scatterplots from step 4 and
correlations from step 5 indicate about the relationship between the various pairs of
variables (e.g., are the variables related?, does the relationship appear to be linear
or nonlinear?, is the direction of the relationship positive or negative?). 
e. A concluding paragraph summarizing the key findings of the analysis and making
recommendations for the variable among HH Inc, Per Cap Inc and Pct Owner Occ
that is most strongly correlated with Home Value.
Submit a single Excel workbook showing all work for Steps 1-5 and a Word document of your
summary report that addresses all parts of Step 6 and that also includes/interweaves all
supporting tables and charts from Steps 1-5 (to tell a story with the data and through
visualization means).
Attached is the case study format , case study instrustions and finalized data/graphs.
No AI.

Create an 8-10 slide PPT, or some other presentation, that accomplishes the following:
Chose some ethical issue you feel is important (abortion, gun control, climate change, eating meat, anything that can be considered a moral matter – if you are unsure, be sure to clear with your instructor)
Present research on the situation being sure to clearly discuss both sides, as much as possible. Some conundrums will have much more weight on one side than the other such as climate change.
Reiterate the primary theories contained in your moral compass from week 3 and then explain the position on this issue your compass promotes.
Include a proper references/works cited slide (APA or MLA).
For example, say you want to address gender-neutral bathrooms in public buildings. First, present some research from sources promoting that they should exist and from sources promoting they should not. Then reiterate the components of your moral compass as stated in the week three paper. Note, your compass may have evolved and if so, work in the new components. Finally, state your position clearly (they should or should not exist) and how your compass justifies that position.
Keep in mind these best practices, please: 
Proper PPTs have bullets on the slide that are explained in the notes section (see video on how to do this if you do not know how). 
If you intend to narrate the presentation, be sure to include the transcript in the notes section (see PPT on how to insert audio if you do not know and want to give that a shot). 
If, for any reason you are unable to access the notes section, put the transcript/notes in a MS Word document in a numbered list with the numbers matching the slide.
Keep the viewer in mind (teacher). While you might work hard on a 20-minute presentation, few faculty members have the time to watch or listen to it.
Just like papers, clear citations must appear on the slide or in the notes to justify listing a resource as a reference.

Complete the following problems from the text using Microsoft Excel and ForecastX:
Problem 7 
Problem 11 
Problem 12 
You will be expected to submit a single fully functional, and clearly labeled Excel spreadsheet that uses a separate worksheet within the spreadsheet for each problem.  For each problem, you will be expected to submit a complete copy of your original work, documenting all calculations.  
Your spreadsheet will be expected to include the complete data set used and a complete copy of all calculations or other work you have performed (including a complete copy of your Forecast X output) to derive your answers for each problem.  No credit will be granted for work that is not completed using Excel, for which your Excel worksheet is not fully interactive, or for which your work shown is incomplete.

can you please make slides based on the data i have provided and following this Concept map?
Instruction:
Slide 1: Title Slide
Group Title: Analysis of Job Satisfaction
Names: [List of Group Members]
Slide 2: Abstract and Context
Abstract: This presentation examines factors impacting employee job satisfaction, focusing on relationships with colleagues and work environment, to recommend improvements.
Problem/Context: Addressing lower than expected job satisfaction scores among employees and analyzing the influence of environmental and interpersonal factors.
Slide 3: Data Description and Analysis Overview
Data Description: Based on employee survey responses assessing job satisfaction, environment quality (ENVR), and colleague relations (COLL).
Descriptive Statistics: Mean, standard deviation, and range of job satisfaction scores are presented to set the foundation for further analysis.
Slide 4: Detailed Analysis
Analysis – Relationships with Colleagues (COLL): Regression model showing the impact on job satisfaction, with model fit and diagnostics.
Analysis – Working Environment (ENVR): Similar regression model setup, emphasizing the influence of the work environment on satisfaction levels.
Slide 5: Results and Conclusions
Results: Summarization of regression outputs highlighting significant findings. Both work environment and colleague relations are key determinants of job satisfaction.
Conclusion: Improved relationships and better work environments correlate strongly with higher satisfaction scores.
Slide 6: Recommendations and Future Directions
Recommendations:
Improve workplace facilities and culture to foster a positive work environment.
Implement team-building and conflict resolution training to enhance interpersonal relations.
Future Directions: Suggestions for further research or additional factors that could be considered to deepen understanding and efficacy of interventions.
I have attached the flie (Excell)
and some example of the slides.
please make max 6 slides.
the PPT I have uploaded is my ppt, but its not understanable can you make it better following the instruction.

Reflect on the following questions in a minimum of 500 words.
Reflect on the three competencies of this course. Consider how they might directly apply to your
life and work environment when answering the questions below.
Competency 1: Employ statistical methods used in data mining and descriptive and predictive
analytics to support actionable business decisions.
Competency 2: Analyze business research to drive organizational decision making.
Competency 3: Examine statistical patterns and trends to highlight organizational performance
and support organizational strategic planning.
Reflection #1:
How would you use descriptive statistics in your current or former place of employment to
visualize information specific to your industry?
What type of research might you use to make decisions related to your organization?
Assess how you would use statistics to make decisions and plan for the future in your current or former place of employment.
Reflection #2:
What specific assignments or learning activities from this course did you find particularly
beneficial?
What do you feel can be improved or added that would have improved your learning experience
in this course?