Category: Data Analytics

I uploaded the files which contains the Exercise and the other files to solve it.

Please adhere to the following:

1- Do not use artificial intelligence, as the university detects its use and has Turnitin.

2- Do not duplicate assignments from other students.

3- Submit within the specified timeframe,I have chosen two days.

4- put it in on excel file

I uploaded the files which contains the Exercise and the other files to solve it.

Please adhere to the following:

1- Do not use artificial intelligence, as the university detects its use and has Turnitin.

2- Do not duplicate assignments from other students.

3- Submit within the specified timeframe,I have chosen two days.

4- I want it in one Excel file

I uploaded the files, which contain the exercise and the other files to solve it.

Please adhere to the following:

1- Do not use artificial intelligence, as the university detects its use and has Turnitin.

2- Do not duplicate assignments from other students.

3- Submit within the specified timeframe; I have chosen two days.

4- I need the assignment in 1 Excel file.

• Format: Prepare a PowerPoint presentation with 2 slides.
  • Designed with a live audience in mind to inform your viewers about the topic
  • Bullets for your main points using pictures to support your presentation where applicable
  • Speaker notes to fully explain what is being discussed in the slide bullet points as though you are presenting to an audience.
  • Research from at least two reliable sources to support the main message, including graphics. Discuss how you evaluated the credibility of the sources used.
  • Information from course readings, materials, or other library sources is incorporated to support your discussion. Properly cite all sources of information by including in-text citations and a list of references.
• Include visuals (charts, frameworks) and references if applicable.

• My organization is American Airlines.

  Part 3: Organizational Differentiation Models

• • Compare Operational Excellence, Product Leadership, and Customer Intimacy.
  • Identify which model dominates in your chosen company and justify why.

Purpose

In this unit, you will begin working on the final assignment, a Retail Store Performance Analysis due in Unit 8. This assignment offers the opportunity to apply the career-ready skills gained throughout this course:

• Business Strategy: Formulating effective strategies for competitive advantage.
• Data Analysis: Utilizing data-driven decision-making, data collection, and data visualization to evaluate and present relevant information.
• Financial Analysis: Assessing fiscal health to inform strategic decisions and manage risk.

These in-demand skills will prepare you to contribute to organizational success in current and future business roles.

Task

You are to assume the role of a highly sought-after consultant with a proven track record of transforming retail chains into market leaders. Youve just been hired by a well-known retail chain facing stiff competition and declining sales across several locations. The management team is eager to understand whats happening in their stores and how they can improve performance. Your task is to analyze the Retail Performance Dataset provided and prepare a comprehensive report for the management team. The final report, due in Unit 8, should include:

• Executive Summary: A brief overview of your findings and recommendations.
• Introduction: Summarize the business problem and purpose of the analysis, and describe the dataset, including key variables and any limitations.
• Analysis Methodology: Summarize and explain in detail the methods used for data analysis that informed the visualizations.
• Findings: Present the results of your analysis, integrating data-driven insights to identify key trends and patterns. Discuss top-performing and underperforming stores, customer demographics, promotional effectiveness, and external influences.
• Recommendations: Detail actionable strategies to improve store performance, along with a strategic roadmap for implementation and measuring success.
• Conclusion: Summarize the key insights and implications for the retail chain.

Retail Store Performance Analysis Initial Data Visualization

In this Unit, you will create and submit a minimum of three data visualizations that represent key insights from the Retail Performance Dataset. This task will involve identifying top-performing and underperforming stores based on sales and other performance metrics. You will analyze the impact of various factors, such as store size, location, and employee count, on sales performance. Additionally, you will explore the relationship between promotional activities and sales and gain an understanding of customer demographics and preferences to tailor marketing strategies effectively.

Your data visualizations will aid in assessing the competitive landscape, and investigating the influence of external factors like seasonality and economic conditions on sales will also be key components of your analysis. Beginning to think ahead, in the next unit you will develop actionable recommendations to improve the stores overall performance and profitability. Using the dataset provided, complete the following tasks:

• Choose Key Metrics: Identify at least three key metrics or variables from the dataset that you will visualize. Consider metrics such as sales performance, foot traffic, or demographic breakdowns.
• Data Visualization Types: Use a variety of visualization types to effectively communicate your insights.
• Visualizations Requirements: Create a minimum of three visualizations that illustrate different aspects of store performance.
• Accompanying Explanation: Write a short report (1-2 pages) that accompanies your visualizations. This report should include:
  • Describe the dataset used for the visualizations, including key variables and any limitations that may affect interpretation.
  • Summarize the data analysis methods that informed your visualizations.
  • Describe each visualization and the insights gained from it.
  • Present any initial conclusions or hypotheses drawn from the visual data.
• Format: This initial analysis does not require a title page or reference page. Only your data visualization and accompanying explanation should be submitted for review to ensure you are on the right track for your final submission in the next unit.

Retail Performance Dataset

You have been provided with access to a rich retail performance dataset containing metrics on store operations, sales, customer demographics, and external factors.

Variables:

• Store ID: Unique identifier for each store
• Location: Geographic location of the store
• Store Size: Size of the store in square feet
• Employee Count: Number of employees working at the store
• Customer Footfall: Average daily foot traffic in the store
• Annual Sales ($K): Total annual sales revenue generated by the store (in thousands of dollars)
• LY Annual Sales ($K): Total annual sales revenue generated by the store in the previous year (in thousands of dollars)
• Product Categories: The top and second-highest performing product categories for the store
• Customer Demographics: Average customer age and predominant gender of customers
• Competitor Presence: Presence of competitor stores in the vicinity of the store
• Promotional Activities: Details of promotional campaigns or discounts offered by the store
• Seasonality: Seasonal variations in sales and foot traffic
• Customer Satisfaction Scores:Ratings provided by customers regarding their shopping experience

Analysis Objectives:

• Identify top-performing and underperforming stores based on sales and other performance metrics.
• Analyze the impact of store size, location and employee count on sales performance.
• Explore the relationship between promotional activities and sales.
• Understand customer demographics and preferences to tailor marketing strategies.
• Assess the competitive landscape and its implications for store performance.
• Investigate the influence of external factors such as seasonality and economic conditions on sales.
• Develop actionable recommendations to improve overall store performance and profitability.

Criteria for Success

• Your completed analysis should be original work consisting of 1-2 pages in Microsoft Word, excluding tables and graphs. Do notinclude the cover page, reference list, or appendices.
• The document should adhere to the following APA formatting requirements: 12-point Times New Roman or 11-point Arial, 1-inch margins, and double-spacing.
• A minimum of three data visualization (tables/graphs) included with proper labeling of numbers, statistics and labeling figures in APA format.

Please read carefully.

Create a dashboard or storyboard following the items listed below:

1. Go to . Pick up a data set of your choice.
2. List your Problem State and the questions you are using to analyze the problem statement, then answer them. (An example: Google Slides as reference for the questions)
3. Use all the principles that you learned in the last seven weeks to create an Interactive Storyboard in Tableau. (Basic Dashboard as an example, create a better one)
4. Submit your Tableau packaged workbook (.twbx). Any other file type will not be accepted.
5. This assignment must be submitted as a packaged Tableau workbook (.twbx). Any other file type will not be accepted.
6. Please refer to the Tableau Final Case rubric on the start here tab for this assignment. The rubric is also attached below.

Complete the project to practice both using Power BI and analyzing data.

Save all changes described in the project and make three to five of your own changes that enhance data analysis. Strive to make changes that are more significant than the changes you made in the previous project.

Submit a Word document report of fewer than eight pages with the following level one headings and content. Use level two and three headings as needed.

• Introduction
• Changes
  • Describe the changes you made and why you made each change.
  • Insert figures (screenshots of your changes). Ensure these are properly labeled per APA 7.
• Analysis
  • Describe insights gleaned from your data analysis.
  • Insert figures (screenshots of visualizations from Power BI).
• Conclusion

Requirements

• Submit only one Word document.
• APA version 7 format for the report.
  • Include a cover page and abstract
  • Do not include a table of contents
  • Use for guidance.
• Review the rubric to ensure you understand how you will be assessed.

Need help completing multiple assignmenets

I have provided the instructions in the file, please follow them carefully dont do something more and advanced since im still learning this. ill be needing the process of cleaning the data set and the other stuff it asked for.