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. This webinar provides guidance on how to manage and execute data-rich projects and is illustrated with case studies and examples. A guiding objective is the discovery of relationships between variables that result in increased process and product understanding. “Tips and traps” are also provided.
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.
Areas to be Covered:
The role “Data Analytics” play in Pharma’s Business world today
Building Blocks of Pharma Analytics What is Analytics?
Analytics Building Blocks?
Assessing “Data Pedigree” to assure you have the quality data in the right amount
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
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