This webinar will guide on how to effectively use Visual Displays of Data to rapidly discover, understand, and effectively communicate results.
Effective collection, analysis and communication of data are central to process and product development and continued process verification. Importance of data is emphasized in FDA’s support of Quality by Design and its Process Validation Guidance. Indeed data are essential to good science and the scientific method. Regulators and others call for “Show Me the Data”. Unfortunately dealing with data can be a daunting task for many persons.
This webinar provides a practical and useful approach for helping to ensure proper interpretation of data and associated conclusions. It is shown that the use of graphical techniques provides insight that enables the discovery of unknown relationships and helps increase process understanding. Graphical techniques compliment the statistical analyses by suggesting appropriate questions to be asked of the data and providing a check on the conclusions of the analysis. Graphics also enable effective communication of results. The value of graphics and practical tips, traps and guidelines for using graphics are discussed. The concepts and methods involved are introduced and illustrated with pharmaceutical and biotech case studies and examples.
Areas to be Covered:
Principles for effective visualization, analysis and communication of results
Model for the critical aspects of data analysis
Examples of graphics that support QbD, process control and troubleshooting studies
How use of graphics can help analysts avoid the limitation of statistical techniques
Characteristics of good graphical displays
Tips, Traps and guidelines for developing useful graphical displays
Who will Benefit:
Research and Development Scientists
Biologists and Microbiologists
Chemists and Chemical Engineers
Process and Manufacturing Engineers
Quality Assurance Personnel
Supply Chain Professionals
Anyone with a desire to learn the fundamentals of methodical performance improvement