Pareto analysis explained + tool
Pareto Analysis — Find the Small Number of Factors Driving the Big Result
Pareto analysis ranks contributors, measures cumulative contribution, and helps teams focus on the factors with the greatest impact. Learn the method and apply it to your own data.
Interactive tool
Apply Pareto analysis to your data
Paste data, import CSV content, or use the sample dataset to see your vital few and cumulative contribution.
Turn raw data into a clear 80/20 decision
Edit, analyze, compare and export — everything runs in your browser.
Your Pareto insight
The first 3 categories account for 80.3% of the total. Start your investigation here rather than treating every category equally.
Why use ParetoScope?
Move from a general 80/20 assumption to a measured result.
See ranked categories and cumulative contribution together.
Use the method for business, quality, sales, operations, and support.
Keep the analysis practical with an immediate interactive workflow.
Common use cases
Quality improvement
Rank your data, identify the largest contributors, and focus improvement work where it has the greatest potential impact.
Business prioritization
Rank your data, identify the largest contributors, and focus improvement work where it has the greatest potential impact.
Sales analysis
Rank your data, identify the largest contributors, and focus improvement work where it has the greatest potential impact.
Customer concentration
Rank your data, identify the largest contributors, and focus improvement work where it has the greatest potential impact.
Inventory management
Rank your data, identify the largest contributors, and focus improvement work where it has the greatest potential impact.
Support workload
Rank your data, identify the largest contributors, and focus improvement work where it has the greatest potential impact.
Frequently asked questions
What is Pareto analysis?
Pareto analysis is a prioritization method that ranks categories by contribution and examines cumulative contribution to identify the factors with the greatest impact.
What is the relationship between Pareto analysis and 80/20?
The 80/20 rule is a popular heuristic associated with Pareto analysis. Real datasets do not have to produce exactly an 80/20 split.
What is a vital few?
The vital few are the relatively small set of contributors responsible for a large share of the measured result.