Pharma Analytics – I Have All These Data, Now What Do I Do?

Overview:

We know that it takes more than a large data set and computer software to effectively solve problems. As information technology increases in capability and availability the opportunity to use data to develop and improve processes becomes even greater. 

Particular attention is paid to the pedigree of the data: the process that generated the data, the measurement process and the data collection process including the sampling schemes used. 

Also essential to success is the use of subject matter knowledge to frame the problem and assess and interpret the results of the analysis.

Why Should You Attend:

• The role “Data Analytics” play in Pharma’s Business world today
• How to get started in developing models from data
• How to verify the prediction accuracy over time
• Tips, Traps and guidelines for conducting successful data analytics studies

Areas Covered in this Webinar:

• Importance of Data and Analytics in Today’s World
• What is Analytics?
• Developing Models – Getting Started
• Model Verification - Developing Models that Predict Accurately over Time
• Success Factors
• What We’ve Learned

Learning Objectives:

• Understand “Building Blocks” of Data Analytics
• How to Assess Data Quality … “Data Pedigree”
• Strategic and sequential approach to developing prediction models
• How to Validate Prediction Model Accuracy
• Success Factors for Analytics Projects

Who Will Benefit:

• Executives
• Department Managers
• Quality Engineers
• Research and Development Scientists
• Biologists and Microbiologists 
• Chemists and Chemical Engineers
• Process and Manufacturing Engineers
• Quality Assurance Personnel
• Supply Chain Professionals
• Accounting Professionals

Anyone with a desire to learn the fundamentals of methodical performance improvement

Speaker Profile:

Ronald D. Snee, PhD is Founder and President of Snee Associates, a firm dedicated to the successful implementation of process and organizational improvement initiatives. He provides guidance to senior executives in their pursuit of improved business performance using Quality by Design, Lean Six Sigma and other improvement approaches that produce bottom line results. 

Prior to his consulting career he spent 24 years at the DuPont Company in a variety of assignments including pharmaceuticals. He has been developing and applying QbD methodologies for more than 30 years. His recent application and research on QbD has produced more than ten articles on use of QbD in Pharma and Biotech. He has also co-authored 2 books on the methods and tools of QbD and speaks regularly at conferences and meetings on the subject. He teaches QbD and related methodologies as an Adjunct Professor at Temple University School of Pharmacy and Rutgers University Pharmaceutical Engineering program.

Others Details

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