Pareto Analysis in Excel – Step-by-Step Guide with Charting & Business Examples

Pareto Analysis & Charting in Excel – Detailed Guide

Pareto Analysis is a decision-making technique used for identifying the most significant factors in a dataset. It is based on the Pareto Principle (80/20 rule), which states that:

“80% of consequences come from 20% of the causes.”

In business, it helps prioritize efforts on the most impactful issues.


🔍 Step-by-Step: Pareto Analysis in Excel

Let’s go through the complete process with an example.


🧾 Example Scenario:

Problem: You’re a Quality Manager analyzing 100 customer complaints. You want to identify the top issues to prioritize.

Sample Data:

Complaint TypeFrequency
Late Delivery35
Damaged Product20
Incorrect Item15
Poor Customer Support12
Difficult Website10
Others8

📊 Step 1: Prepare the Data

Start with your data like above – two columns:

  • Categories (causes)
  • Values (frequency or cost)

📈 Step 2: Sort Data in Descending Order

Sort the complaint types by frequency from highest to lowest:

Data → Sort → Sort by Frequency → Largest to Smallest

🧮 Step 3: Add Cumulative Percentage

Add three more columns:

  • Cumulative Frequency
  • Cumulative %
  • Percentage of Total
Complaint TypeFrequencyCumulative Frequency% of TotalCumulative %
Late Delivery353535%35%
Damaged Product205520%55%
Incorrect Item157015%70%
Poor Customer Support128212%82%
Difficult Website109210%92%
Others81008%100%

Excel formulas:

  • Total Complaints: =SUM(B2:B7)
  • % of Total (C2): =B2/$B$8
  • Cumulative Frequency (D2): =B2; (D3): =D2+B3
  • Cumulative % (E2): =D2/$B$8

Use Number Format → Percentage and show 0 decimals for clarity.


📉 Step 4: Create the Pareto Chart

Option 1: Built-in Pareto Chart (Excel 2016 and later)

  1. Select the original two columns (Complaint Type and Frequency).
  2. Go to: Insert → Charts → Histogram → Pareto

Excel will automatically:

  • Sort data
  • Calculate cumulative %
  • Overlay line graph on bar chart

Option 2: Manual Combo Chart (for all Excel versions)

  1. Select:
    • Categories
    • Frequency
    • Cumulative %
  2. Go to: Insert → Chart → Combo Chart → Custom Combo
  3. Set:
    • Frequency → Clustered Column
    • Cumulative % → Line Chart
    • Check Secondary Axis for Cumulative %

🎯 Step 5: Interpret the Chart

  • Bars show the frequency of each cause.
  • Line shows cumulative %.
  • Identify where the line crosses 80% → those are your top contributing issues (usually 2–3 categories).

✅ Use Cases in Business

AreaPareto Use Case Example
Quality ControlIdentify top causes of product defects
Customer ServiceAnalyze top reasons for complaints
Inventory ManagementFocus on top items causing stock-outs
Sales & RevenueTop customers/products contributing to revenue
IT / HelpdeskMost frequent support ticket categories

📌 Tips

  • Use data labels for better readability.
  • Apply conditional formatting to highlight top 20% causes.
  • Use slicers/filters if working with dynamic dashboards.

🔖 Summary

StepAction
1Collect and structure your data
2Sort in descending order
3Add cumulative and percentage columns
4Create Pareto chart (built-in or manual)
5Analyze and act on the top issues