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Accounting · Studypool

Data Analytics #5-Tableau

🧠 Lab Insight

There are many reasons to forecast a company's future performance:

  • A company may need to forecast sales to plan for production capacity
  • It may forecast cash flow to manage financing needs
  • Investors may forecast earnings to assess a company’s value

In this lab, your goal is to use Tableau’s forecasting options to:

  • Forecast future quarterly sales for IBM
  • Forecast future quarterly income before extraordinary items for IBM
  • Visualize trends for 2022, 2023, and 2024, based on historical data from 2010–2021

This is your first hands-on exercise using Tableau to perform predictive analytics — a critical skill in today’s accounting and business environments.

🖥️ Getting StartedYou are going to need to have tableu installed on your desktop as well (NO MAC COMPUTERS ONLY WINdows)

📎 Submission Instructions

  1. Complete your forecasting analysis in Tableau
  2. Take screenshots of the following:
    • Forecast chart for quarterly sales (both Box plots and Crosstab data)
    • Forecast chart for quarterly income before extraordinary items (both Box plots and Crosstab data)
  3. Paste your screenshots into a Word document and name the document "Data Analytics #5 Submission".
  4. Add your write-up at the end of the Word file (see below)
  5. Submit your Word file only via Canvas
❌ Do not submit Tableau files ✅ Only Word documents with screenshots will be accepted 📂 All raw data and assignment materials are available on this Canvas page

📝 Short Write-Up Requirement (Max 300 Words)

At the end of your Word document, please include a short write-up that addresses the following questions:
  1. Did you notice any similarities between Data Analytics #5 (Tableau) and Data Analytics #3 (Excel)?
    • Both assignments involve forecasting IBM’s sales and earnings. How did the experience compare?
  2. What are the differences between using Tableau and Excel for forecasting?
    • In terms of ease of use, features, visualization, and interpretability
  3. What are the pros and cons of each tool?
    • Think about the strengths and weaknesses you experienced while working on both

✅ Keep your response under 300 words ✅ Use bullet headers or paragraph breaks for each question ❌ Submissions that do not clearly answer each part will receive zero credit, even if the content is correct