Using Big Data to Take Quality Beyond Compliance

About This Video

Life sciences companies collect so much data through corrective and preventive action (CAPA), deviations, nonconformances, customer complaints, etc., but those data rarely get used to their full potential. Data analytics can give you business insights to determine which products are most problematic, how employees perform, and which stages of the product development process are the least efficient. Speaking of inefficiencies, analytics can predict how your processes will be affected by certain changes. This is preferable to a trial-and-error method and lets you pinpoint specific improvements that will immediately generate results as opposed to trying a new approach for a few months and hoping for positive change. In this session, Sue Marchant will explain how to take your company from reactive to proactive quality management. You’ll see how a QMS solution can give you business intelligence insights to give management a better understanding of your processes and how to improve them.