Improve defect detection and reduce variability with automated quality workflows. Alteryx unifies MES, ERP, and quality data to standardize metrics, surface trends, and accelerate root cause analysis for consistent, trusted improvement.
By 2027, 70% of G2000 manufacturers are expected to use generative AI to automate product quality management (IDC, 2024). However, quality teams often depend on spreadsheets and disconnected systems that delay reporting and limit consistency. Combining quality data, MES metrics, and ERP inputs is often slow and unreliable. Manual reporting, limited insights, and unclear root causes slow responsiveness, increase rework, and raise compliance risk. Without structured access to trusted QA data, manufacturers face reactive investigations, increased variability, limited ability to scale improvements, and a blocker to AI success.
QA data spread across MES, ERP, and systems delays reporting and hinders consistency.
Spreadsheets slow QA, introduce errors, and block timely defect detection and corrective action.
Disconnected workflows limit traceability, making audit and compliance reporting unreliable.
Unstructured, lineage-poor data prevents AI from finding patterns and supporting quality insights.
Alteryx One helps manufacturers automate quality workflows by connecting and standardizing data from MES, ERP, and quality systems. Teams can cleanse, blend, and analyze data using governed logic within repeatable, no-code workflows. This enables faster issue detection, clearer defect trends, and audit-ready reports. QA leaders gain consistent visibility across sites and can move from manual tasks to analytics-driven decision-making.
Faster issue detection and clearer defect trends
Reduced rework and manual reporting effort
Stronger compliance through governed traceability
Scalable quality processes aligned across plants
Manual exporting of 3,000 Excel databases reduced to 3 minutes
Assessing the Sigma Level with 1 replicated workflow
Emitting between 500-3,000 records every 30 seconds
The team needed approximately one working week of data consolidation to assess the Sigma Level of each of our 20 plants. With Alteryx, we can replicate this task so it takes less than three minutes for all plants.
Replace spreadsheets and manual formatting with governed processes that unify MES, ERP, and QA data. Standardized reports cut rework, improve consistency, and let analysts focus on problem-solving.
Blend MES, ERP, and QA inputs for full visibility into performance. Teams compare defects, track deviations, and align on a single version of the truth across plants with less IT reliance.
Embed standards and metrics into no-code workflows that scale across sites. Analysts track trends, surface anomalies, and monitor KPIs with clean, auditable data to sustain quality improvements.
Prepare AI-ready datasets with thresholds, metadata, and lineage built in. Governed workflows reduce risk, boost explainability, and support predictive quality without sacrificing compliance.
Blend batch records, equipment logs, and QA data into dashboards. Analysts isolate patterns quickly, speeding investigations and driving continuous improvement without IT delays.
