Live -Webinar 2014 - "Analyzing Your Biggest Data - Practical Text Mining for Regulated Companies"

Most pharmaceutical, biopharmaceutical, and medical device organizations are analyzing structured numerical (and categorical) data: clinical trials, R&D, process development, process monitoring, sales and marketing, product supply, commercial manufacturing. The collection and analysis of this data is prevalent throughout most organizations. However, the majority of stored data is not numerical; it is in the form of unstructured text in reports and documents. How do you analyze product complaints to see if there are systemic themes? How do these systemic themes relate to minor, major, and severe outcomes? How do you conduct analysis on the free-form sections of non-conformances? How do you analyze what people are writing about your products on social media? Or even what people are writing on financial blogs? Would it be beneficial to analyze the most recent recall information and/or inspection observations from fda.gov? New text analysis techniques can be easily implemented to find previously unknown relationships from these collections of unstructured data. These methods can discover useful and actionable compliance and business insights.