Overview

Q-DAS destra is a statistical software package designed to facilitate process improvement and optimization through a comprehensive suite of statistical methods. It enables users to plan and execute lifetime analyses, evaluate experimental data, and present results graphically. Serving as a robust tool for data analysis in both acceptance testing and new development projects across various industries, destra supports the application of both simple statistical methods, such as Shainin techniques, and more advanced studies. Its intuitive user interface and visually appealing graphics ensure that users can efficiently access and interpret the results they need.

Features and Capabilities

• Reliability Analysis: Assess whether products meet specified requirements under defined conditions over time, incorporating methods like end-of-life testing, various censoring schemes (type I, type II, and hybrid), sudden death tests, Eckel procedures for field failures, and success run tests.
• Design of Experiments (DoE): Analyze cause-and-effect relationships between factors and responses to optimize products and processes, facilitating well-structured data acquisition for informed decision-making.
• Process Optimization: Employ a rich set of statistical methods to test the significance of various relationships, supporting both simple and sophisticated studies aimed at process improvement.
• User-Friendly Interface: Benefit from an intuitive design and engaging graphics that present results clearly, catering to both statistical novices and experts.
• Six Sigma Support: Serve as a process optimization tool in Six Sigma projects, offering functionalities suitable for Green Belt, Black Belt, and Master Black Belt practitioners, with both simple, graphically oriented evaluation methods and a wide array of professional tools.