Quality
Ensuring product quality and standards.
The Guardian of Standards: Quality Control Analytics
The quality department ensures that every product meets rigorous standards. This involves analyzing data from various systems to monitor conformance, manage deviations, and drive continuous improvement, safeguarding both brand reputation and customer satisfaction.
| Data Source | Description | Importance |
|---|---|---|
Quality Management System (QMS) | Central repository for quality procedures, documentation, and compliance records. | Mandatory |
LIMS (Lab Info Management System) | Manages lab samples, test results, and instrument calibration data. | Mandatory |
Statistical Process Control (SPC) | Software for real-time monitoring of process stability and capability. | Important |
MES/SCADA Data | Provides production context (e.g., which batch, which machine) for quality events. | Important |
ERP System | Data on supplier information, raw material lots, and customer complaints. | Optional |
Available Dashboards
Select a dashboard to gain insights into your operations.
Tracks defect rates, rework percentages, failed tests, batch pass/fail; foundational quality monitoring.
Descriptive
Monitors raw material traceability, batch genealogy, and regulatory compliance reporting.
Descriptive & Diagnostic
Investigates causes of defects or deviations by product, process, or machine.
Diagnostic
Evaluates incoming material quality from suppliers, including defect rate and delivery performance.
Descriptive & Diagnostic
Tracks complaint types, resolution times, and impact on product returns.
Descriptive & Diagnostic
Statistical process control (SPC), real-time anomaly detection, and recommendations for process improvement.
Cognitive
Schedules and outcomes of internal and external audits, inspection pass rates.
Descriptive