Unlock Your Data Insights Faster: The 'CohortBuilder' Way. - Adam Forys & Krystian Igras

Cohort analysis is vital for understanding patterns and trends within datasets, particularly in fields like healthcare, marketing, and user analytics. The 'cohortBuilder' and 'shinyCohortBuilder' packages in R offer a convenient approach to defining and manipulating cohorts. If you're exploring ways to streamline your cohort analysis workflow within Shiny, this talk will introduce you to powerful tools worth exploring. During the presentation, I will demonstrate the core concepts of the 'cohortBuilder' ecosystem, highlighting their strengths in performing cohort analysis and visualization within R Shiny.
Adam Forys, Roche
Adam is a Principal Data Scientist at Roche. He is dedicated to building R packages that empower teams working on SDTM. He is committed to collaboration and enjoys guiding others in overcoming technical obstacles and optimizing their data science workflows.
Krystian Igras, 7N
Krystian is a Scientific Software Engineer at 7N. For many years involved in business consulting and analytical projects as well as conducting workshops in the R language. Currently focused on implementing complex Shiny components operating on Real World Medical Data. He is interested in optimizing R-based workflows and pushing Shiny to the limit. Enthusiast of tea and vinyl records world.