Quality Analytics

Quality analytics provides insights into quality performance through dashboards, reports, and trend analysis. This guide covers using analytics for quality improvement.

Overview

Quality analytics enables you to:

Monitor quality KPIs
Analyze defect trends
Track supplier quality
Measure process capability
Generate quality reports
Drive improvement decisions

Accessing Analytics

Navigate to Quality → Analytics or Quality → Dashboard.

Understanding Quality Analytics

Key Metrics

Metric	Description	Formula
Defect Rate	Defects per unit	Defects / Units
First Pass Yield	Pass first time	Pass / Total × 100
Yield	Good units ratio	Good / Total × 100
DPMO	Defects per million	(Defects / Opportunities) × 1M
Cost of Quality	Quality-related costs	Prevention + Appraisal + Failure

Quality Cost Categories

Category	Description	Examples
Prevention	Prevent defects	Training, planning
Appraisal	Detect defects	Inspection, testing
Internal Failure	Found before ship	Scrap, rework
External Failure	Found after ship	Returns, warranty

Performance Indicators

KPI	Target	Good	Poor
First Pass Yield	>95%	>90%	<80%
Defect Rate	<1%	<2%	>5%
On-Time Delivery	>98%	>95%	<90%
Customer Complaints	<5/month	<10	>20

Dashboard Overview

Quality Dashboard

Key sections:

KPI Summary - Main metrics
Trend Charts - Over time
Top Issues - Pareto analysis
Supplier Quality - Vendor performance
NCR Status - Open issues

Dashboard Widgets

Widget	Content
Scorecard	KPI targets vs actual
Trend Line	Metric over time
Pareto Chart	Top defects
Control Chart	SPC monitoring
Pie Chart	Distribution

How-To Guides

How to Monitor Quality KPIs

KPI Dashboard Setup

Go to Quality → Analytics
Select KPI Dashboard
Configure metrics to display
Set target values
Configure refresh rate

Key Metrics to Track

Quality Scorecard - January 2026
┌─────────────────┬────────┬────────┬──────────┐
│ Metric          │ Target │ Actual │ Status   │
├─────────────────┼────────┼────────┼──────────┤
│ First Pass Yield│  95%   │  93.2% │ ⚠ Below  │
│ Defect Rate     │  <1%   │  0.8%  │ ✓ On     │
│ NCR Count       │  <10   │   7    │ ✓ On     │
│ Supplier Score  │  >90   │  88    │ ⚠ Below  │
│ COPQ %          │  <2%   │  1.5%  │ ✓ On     │
└─────────────────┴────────┴────────┴──────────┘

Setting Alerts

Configure alerts for:

KPI below target
Trend declining
Threshold exceeded
Unusual variation

How to Analyze Defect Trends

Trend Analysis

Track over time:

Select metric (defect rate)
Choose time period
Select granularity (daily/weekly/monthly)
View trend line
Identify patterns

Trend Chart Example

Defect Rate Trend - 6 Months

5% |
4% |    *
3% |  *   *  *
2% |        * *
1% |            * *  *
   |___________________
    Jul Aug Sep Oct Nov Dec

Pattern Recognition

Pattern	Indicates	Action
Upward	Worsening	Investigate
Downward	Improving	Sustain
Stable	Controlled	Monitor
Erratic	Inconsistent	Analyze variation
Cyclical	Periodic	Identify cause

How to Perform Pareto Analysis

Pareto Principle

80/20 rule: 80% of problems from 20% of causes

Creating Pareto Chart

Go to Quality → Reports → Pareto
Select data source (NCRs, defects)
Choose categorization (type, cause)
Set date range
Generate chart

Pareto Example

Defect Pareto - Q4 2025

Defect Type        Count   Cum%
────────────────────────────────
Dimensional        45      45%    ████████████
Surface Finish     25      70%    ███████
Assembly           15      85%    ████
Documentation       8      93%    ██
Other               7     100%    ██

[Focus on top 3 = 85% of defects]

Using Pareto Results

Focus improvement on:

Top contributors (vital few)
Highest impact areas
Best ROI opportunities

How to Track Supplier Quality

Supplier Scorecard

Track vendor performance:

Supplier	Quality Score	Delivery	Defect Rate	Status
Vendor A	95	98%	0.3%	✓ Good
Vendor B	88	92%	1.2%	⚠ Watch
Vendor C	78	85%	2.5%	✗ Action

Supplier Quality Report

Generate reports showing:

Incoming inspection results
NCRs by supplier
Reject rates
Trend over time
Comparison to peers

Vendor Performance Actions

Score	Rating	Action
>90	Preferred	Maintain, consider reduced inspection
80-90	Acceptable	Monitor, improvement plan
70-80	Probation	Intensive monitoring, corrective action
<70	Disqualified	Source replacement

How to Analyze Cost of Quality

COPQ Analysis

Track quality costs:

Cost of Quality - 2025

Prevention Costs:    $50,000   (25%)
├─ Training:         $20,000
├─ Planning:         $15,000
└─ Process Control:  $15,000

Appraisal Costs:     $60,000   (30%)
├─ Inspection:       $35,000
├─ Testing:          $20,000
└─ Calibration:       $5,000

Internal Failure:    $70,000   (35%)
├─ Scrap:            $40,000
├─ Rework:           $25,000
└─ Retest:            $5,000

External Failure:    $20,000   (10%)
├─ Returns:          $12,000
├─ Warranty:          $5,000
└─ Complaints:        $3,000

Total COPQ:         $200,000
Revenue:          $10,000,000
COPQ %:                  2.0%

COPQ Trends

Monitor over time:

Shift from failure to prevention
Reduce total COPQ
Optimize investment

How to Generate Quality Reports

Standard Reports

Report	Purpose	Frequency
Quality Summary	Overall performance	Weekly
NCR Report	Open issues	Weekly
Inspection Report	Pass/fail results	Daily
Supplier Report	Vendor quality	Monthly
COPQ Report	Quality costs	Monthly

Custom Reports

Build reports:

Go to Quality → Reports → Custom
Select data source
Choose fields/metrics
Add filters
Configure grouping
Set schedule (optional)
Generate

Report Distribution

Automate delivery:

Email schedules
Dashboard publishing
Export formats (PDF, Excel)
Distribution lists

How to Use Statistical Analysis

Process Capability

Calculate Cp, Cpk:

Process: Widget Length
USL: 100.5 mm
LSL: 99.5 mm
Mean: 100.0 mm
Std Dev: 0.15 mm

Cp = (100.5 - 99.5) / (6 × 0.15) = 1.11
Cpk = min((100.5-100)/(3×0.15), (100-99.5)/(3×0.15)) = 1.11

Result: Process capable but could improve
Target Cpk: >1.33

Statistical Tools

Available analyses:

Descriptive statistics
Correlation analysis
Regression analysis
Hypothesis testing
Control charting

Advanced Features

Predictive Analytics

Forecast quality:

Trend extrapolation
Pattern prediction
Risk identification
Early warning

Benchmarking

Compare performance:

Internal comparison
Industry standards
Best practices
Competitive analysis

Root Cause Correlation

Link data:

Defect to process
NCR to supplier
Failure to condition
Pattern identification

Executive Dashboards

Management views:

High-level KPIs
Trend summaries
Action items
Strategic metrics

Best Practices

📊 Data Quality

Accurate entry
Complete records
Timely updates
Consistent definitions

📈 Analysis

Regular reviews
Focus on trends
Actionable insights
Data-driven decisions

📋 Reporting

Right audience
Appropriate detail
Visual clarity
Action-oriented

🎯 Improvement

Set targets
Track progress
Celebrate wins
Learn from failures

Configuration

Analytics Settings

Navigate to Settings → Quality → Analytics:

Default Views - Standard dashboards
KPI Definitions - Metric calculations
Targets - Performance goals
Alerts - Threshold triggers

Report Settings

Templates - Standard formats
Schedules - Auto-generation
Distribution - Recipients
Retention - Archive policy

Dashboard Settings

Layouts - Widget arrangement
Refresh - Update frequency
Access - Permissions
Sharing - Visibility

Troubleshooting

Common Issues

Dashboard not loading

Check data availability
Verify permissions
Clear cache
Try refresh

Metrics incorrect

Review calculation rules
Verify data source
Check filters
Audit source data

Report failing

Check data range
Verify permissions
Review query limits
Try smaller dataset

Trends not showing

Verify sufficient data
Check date range
Review aggregation
Adjust granularity

Quality Analytics ​

Overview ​

Accessing Analytics ​

Understanding Quality Analytics ​

Key Metrics ​

Quality Cost Categories ​

Performance Indicators ​

Dashboard Overview ​

Quality Dashboard ​

Dashboard Widgets ​

How-To Guides ​

How to Monitor Quality KPIs ​

KPI Dashboard Setup ​

Key Metrics to Track ​

Setting Alerts ​

How to Analyze Defect Trends ​

Trend Analysis ​

Trend Chart Example ​

Pattern Recognition ​

How to Perform Pareto Analysis ​

Pareto Principle ​

Creating Pareto Chart ​

Pareto Example ​

Using Pareto Results ​

How to Track Supplier Quality ​

Supplier Scorecard ​

Supplier Quality Report ​

Vendor Performance Actions ​

How to Analyze Cost of Quality ​

COPQ Analysis ​

COPQ Trends ​

How to Generate Quality Reports ​

Standard Reports ​

Custom Reports ​

Report Distribution ​

How to Use Statistical Analysis ​

Process Capability ​

Statistical Tools ​

Advanced Features ​

Predictive Analytics ​

Benchmarking ​

Root Cause Correlation ​

Executive Dashboards ​

Best Practices ​

📊 Data Quality ​

📈 Analysis ​

📋 Reporting ​

🎯 Improvement ​

Configuration ​

Analytics Settings ​

Report Settings ​

Dashboard Settings ​

Troubleshooting ​

Common Issues ​