Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

Step 1: Understand the Assignment

This assignment requires you to analyze a case study about American Airlines’ financial issues related to their AAirpass program. Your goal is to determine which statistical techniques for prescriptive analytics could have been used to evaluate the long-term profitability of the program. You need to explain why your chosen technique(s) would have been useful.

Step 2: Read the Mini Case Thoroughly

Carefully go through the Mini Case: American Airlines’ Sky-High Cash Flow Problem to understand the financial challenges American Airlines faced with the AAirpass. Identify key problems such as:

• Unrestricted travel leading to excessive costs
• The inability to predict how frequently customers would fly
• The impact of high operational costs

Take notes while reading to help structure your response.

Step 3: Learn About Prescriptive Analytics

Prescriptive analytics involves using data-driven techniques to recommend the best course of action. Some common statistical techniques include:

• Monte Carlo Simulation: Models different financial scenarios and predicts possible outcomes.
• Regression Analysis: Uses past data to forecast future trends in customer behavior.
• Decision Tree Analysis: Helps in identifying financial risks and making informed decisions.

You need to choose one or more of these techniques and justify how they could have helped American Airlines avoid losses.

Step 4: Structure Your Response

Your discussion post should be between 100 and 250 words and must reference either:

• The coursebook (mention a specific page number)
• An external source (provide a URL)

Suggested Structure:

1. Introduction (2-3 sentences) – Briefly introduce the AAirpass problem and the importance of prescriptive analytics.
2. Main Analysis (5-7 sentences) – Explain one or more statistical techniques and how they could have helped American Airlines predict profitability.
3. Conclusion (2-3 sentences) – Summarize your key points and reinforce why prescriptive analytics is essential for financial forecasting.

Step 5: Reply to Another Student’s Post

After posting your response, reply to a classmate’s post with at least two sentences. You can:

• Agree or disagree with their analysis and explain why.
• Add another perspective or technique they may have missed.

Final Tips

Stay within the word limit (100-250 words).
Use clear and simple language.
Cite at least one source (coursebook page or external URL).
Make sure your response flows logically and remains on topic.
Proofread your work for grammar and clarity.

By following these steps, you’ll create a strong discussion post that meets the rubric requirements!

The post Evaluating Prescriptive Analytics for American Airlines’ AAirpass Profitability appeared first on blitz.

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

Step 1: Prepare Your Data

1. Download the dataset from the module and import it into Power BI.
2. Clean the data:
   • Remove duplicate or irrelevant columns.
   • Standardize job titles (e.g., “Data Analyst” vs. “Data-Analyst” should be the same).
   • Handle missing values by filling in or removing them.

Step 2: Create Required Visualizations

You need at least four visualizations. Here are some recommendations:

1. Bar Chart – Compare the number of employees across different job titles.

   • X-axis: Job Titles (cleaned)
   • Y-axis: Count of Employees
   • Tip: Use a horizontal bar chart for readability.

2. Card Visualization – Display a key metric like Total Number of Employees or Average Salary.

   • Go to Visualizations > Card and select the metric to display.

3. Pie Chart / Donut Chart – Show the percentage of employees per department.

   • Values: Count of Employees
   • Legend: Department Name

4. Line Chart – Show salary trends over time (if applicable).

   • X-axis: Year
   • Y-axis: Average Salary

Step 3: Format Your Dashboard

• Add a title at the top: "Job Market Insights Dashboard"
• At the bottom, include: "Dashboard by: Your Name"
• Choose a uniform color scheme (avoid random bright colors; use professional tones like blue/gray).
• Resize and position elements properly for a balanced layout.
• Ensure legends clearly describe the data (e.g., “Employee Count by Department” instead of “Pie Chart 1”).

Step 4: Export and Submit

1. Check for errors – Make sure all visualizations display data correctly.
2. Go to File > Export > Export as PDF to save your dashboard.
3. Upload the PDF as required.

By following this guide, you’ll create a clean, insightful, and visually appealing Power BI dashboard that meets all assignment requirements!

The post Power BI Dashboard Assignment: How to Create an Effective Data Visualization appeared first on blitz.