Predictive Quality Analytics
ETQ Reliance integrates with Acerta LinePulse, a leader in Predictive Quality Analytics, to provide an end-to-end solution that detects plant-level quality issues early, helping cross-functional teams address problems swiftly. This integration enables systematic product quality improvements through enterprise eQMS infrastructure. By combining valuable factory data with QMS processes, organizations can enhance outcomes throughout the value chain, reducing the costs of poor quality and delivering results on Industry 4.0 initiatives.
Quality Analytics Software
ETQ Insights, part of ETQ Reliance, offers actionable insights by organizing quality-related data in an analytics-ready format. Quality professionals can uncover critical operational knowledge, identify trends, and make data-driven decisions to drive continuous improvement. The advanced analytics component of ETQ Insights harmonizes quality data from different systems, provides purpose-built quality dashboards, and enables data-driven analysis for informed decision-making. It also offers a comprehensive view of quality operations, facilitating quick response, effective root cause analysis, and continuous improvement.
Synchronization Data Layer (SDL)
The Synchronization Data Layer in ETQ Reliance transforms quality-related information into analytics data without affecting the QMS' performance. This data is then stored in the Quality Data Lake for further analysis. The SDL ensures seamless integration with existing BI strategies, allowing organizations to access structured and unstructured data from the Quality Data Lake for use in data warehouses or existing BI tools.
Guidebook: Improving Quality through Advanced Analytics
Organizations can leverage advanced analytics to gain insights into supplier quality, manufacturing processes, customer feedback, complaints, and problem resolution. This guidebook explores how a robust data culture can drive quality excellence by utilizing advanced analytics tools like ETQ Reliance to enhance decision-making and quality management practices.